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Automatic Generation of Temporal Data Provenance From Biodiversity Information Systems

Aim/Purpose: Although the significance of data provenance has been recognized in a variety of sectors, there is currently no standardized technique or approach for gathering data provenance. The present automated technique mostly employs workflow-based strategies. Unfortunately, the majority of current information systems do not embrace the strategy, particularly biodiversity information systems in which data is acquired by a variety of persons using a wide range of equipment, tools, and protocols. Background: This article presents an automated technique for producing temporal data provenance that is independent of biodiversity information systems. The approach is dependent on the changes in contextual information of data items. By mapping the modifications to a schema, a standardized representation of data provenance may be created. Consequently, temporal information may be automatically inferred. Methodology: The research methodology consists of three main activities: database event detection, event-schema mapping, and temporal information inference. First, a list of events will be detected from databases. After that, the detected events will be mapped to an ontology, so a common representation of data provenance will be obtained. Based on the derived data provenance, rule-based reasoning will be automatically used to infer temporal information. Consequently, a temporal provenance will be produced. Contribution: This paper provides a new method for generating data provenance automatically without interfering with the existing biodiversity information system. In addition to this, it does not mandate that any information system adheres to any particular form. Ontology and the rule-based system as the core components of the solution have been confirmed to be highly valuable in biodiversity science. Findings: Detaching the solution from any biodiversity information system provides scalability in the implementation. Based on the evaluation of a typical biodiversity information system for species traits of plants, a high number of temporal information can be generated to the highest degree possible. Using rules to encode different types of knowledge provides high flexibility to generate temporal information, enabling different temporal-based analyses and reasoning. Recommendations for Practitioners: The strategy is based on the contextual information of data items, yet most information systems simply save the most recent ones. As a result, in order for the solution to function properly, database snapshots must be stored on a frequent basis. Furthermore, a more practical technique for recording changes in contextual information would be preferable. Recommendation for Researchers: The capability to uniformly represent events using a schema has paved the way for automatic inference of temporal information. Therefore, a richer representation of temporal information should be investigated further. Also, this work demonstrates that rule-based inference provides flexibility to encode different types of knowledge from experts. Consequently, a variety of temporal-based data analyses and reasoning can be performed. Therefore, it will be better to investigate multiple domain-oriented knowledge using the solution. Impact on Society: Using a typical information system to store and manage biodiversity data has not prohibited us from generating data provenance. Since there is no restriction on the type of information system, our solution has a high potential to be widely adopted. Future Research: The data analysis of this work was limited to species traits data. However, there are other types of biodiversity data, including genetic composition, species population, and community composition. In the future, this work will be expanded to cover all those types of biodiversity data. The ultimate goal is to have a standard methodology or strategy for collecting provenance from any biodiversity data regardless of how the data was stored or managed.




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Determinants of Online Behavior Among Jordanian Consumers: An Empirical Study of OpenSooq

Aim/Purpose: This study identifies the elements that influence intentions to purchase from the most popular Arabic online classifieds platform, OpenSooq.com. Background: Online purchasing has become popular among consumers in the past two decades, with perceived risk and trust playing key roles in consumers’ intention to purchase online. Methodology: A questionnaire survey was conducted of Internet users from three Jordanian districts to investigate how they used the OpenSooq platform in their e-commerce activities. In total, 202 usable responses were collected, and the data were analyzed with PLS-SEM for hypothesis testing and model validation. Contribution: Though online trading is increasingly popular, the factors that impact the behavior of consumers when purchasing high-value products have not been adequately investigated. Therefore, this study examined the factors affecting perceived risk, and the potential impact of privacy concerns on the perceived risk of online smartphone buyers. The study framework can help explore online behavior in various situations to ascertain similarities and differences and probe other aspects of online buying. Findings: Perceived risk negatively correlates with online purchasing behavior and trust. However, privacy concern and perceived risk, transaction security and trust, and trust and online purchasing behavior exhibited positive correlations. Recommendations for Practitioners: Customers can complete and retain online purchases in a range of settings illuminated in this study’s methods and procedures. Moreover, businesses can manage their IT arrangements to make Internet shopping more convenient and build processes for online shopping that allow for engagement, training, and ease of use, thus improving their customers’ online purchasing behavior. Recommendation for Researchers: Given the insight into the understanding and integration of variables including perceived risk, privacy issues, trust, transaction security, and online purchasing behavior, academics can build on the groundwork of this research paradigm to investigate underdeveloped countries, particularly Jordan, further. Impact on Society: Understanding the characteristics that influence online purchasing behavior can help countries realize the full potential of online shopping, particularly the benefits of safe, fast, and low-cost financial transactions without the need for an intermediary. Future Research: Future research can examine the link between online purchase intent, perceived risk, privacy concerns, trust, and transaction security to see if the findings of this study in Jordan can be applied to a broader context in other countries.




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Determinants of Knowledge Transfer for Information Technology Project Managers: A Systematic Literature Review

Aim/Purpose: The purpose of this study is to identify the key determinants hindering Knowledge Transfer (KT) practices for Information Technology Project Managers (ITPMs) Background: The failure rate of IT projects remains unacceptably high worldwide, and KT between project managers and team members has been recognized as a significant issue affecting project success. Therefore, this study tries to identify the determinants of KT within the context of IT projects for ITPMs. Methodology: A systematic review of the literature (SLR) was employed in the investigation. The SLR found 28 primary studies on KT for ITPMs that were published in Scopus and Web of Science databases between 2010 and 2023. Contribution: Social Cognitive Theory (SCT) was used to build a theoretical framework where the determinants were categorized into Personal factors, Environmental (Project organizational) factors, and other factors, such as Technological factors influencing ITPMs (Behavioral factors), to implement in KT practices. Findings: The review identified 11 key determinants categorized into three broad categories: Personal factors (i.e., motivation, absorptive capability, trust, time urgency), Project Organizational factors (i.e., team structure, leadership style, reward system, organizational culture, communication), and Technological factors (i.e., project task collaboration tool and IT infrastructure and support) that influence implementing KT for ITPMs Recommendations for Practitioners: The proposed framework in this paper can be used by project managers as a guide to adopt KT practices within their project organization. Recommendation for Researchers: The review showed that some determinants, such as Technological factors, have not been adequately explored in the existing KT model in the IT projects context and can be integrated with other relevant theories to understand how a project manager’s knowledge can be transferred and retained in the organization using technology in future research. Impact on Society: This study emphasizes the role of individual actions and project organizational and technological matters in shaping the efficacy of KT within project organizations. It offers insight that could steer business owners or executives within project organizations to closely observe the behavior of project managers, thereby securing successful project outcomes. Future Research: The determinant list provided in this paper is acquired from extensive SLR and, therefore, further research should aim to expand and deepen the investigation by validating these determinants from experts in the field of IT and project management. Future studies can also add other external technological determinants to provide a more comprehensive KT implementation framework. Similarly, this research does not include determinants identified directly from the industry, as it relies solely on determinants found in the existing literature. Although a comprehensive attempt has been made to encompass all relevant papers, there remains a potential for overlooking some research in this process.




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Determinants of the Intention to Use Big Data Analytics in Banks and Insurance Companies: The Moderating Role of Managerial Support

Aim/Purpose: The aim of this research paper is to suggest a comprehensive model that incorporates the technology acceptance model with the task-technology fit model, information quality, security, trust, and managerial support to investigate the intended usage of big data analytics (BDA) in banks and insurance companies. Background: The emergence of the concept of “big data,” prompted by the widespread use of connected devices and social media, has been pointed out by many professionals and financial institutions in particular, which makes it necessary to assess the determinants that have an impact on behavioral intention to use big data analytics in banks and insurance companies. Methodology: The integrated model was empirically assessed using self-administered questionnaires from 181 prospective big data analytics users in Moroccan banks and insurance firms and examined using partial least square (PLS) structural equation modeling. The results cover sample characteristics, an analysis of the validity and reliability of measurement models’ variables, an evaluation of the proposed hypotheses, and a discussion of the findings. Contribution: The paper makes a noteworthy contribution to the BDA adoption literature within the finance sector. It stands out by ingeniously amalgamating the Technology Acceptance Model (TAM) with Task-Technology Fit (TTF) while underscoring the critical significance of information quality, trust, and managerial support, due to their profound relevance and importance in the finance domain. Thus showing BDA has potential applications beyond the finance sector. Findings: The findings showed that TTF and trust’s impact on the intention to use is considerable. Information quality positively impacted perceived usefulness and ease of use, which in turn affected the intention to use. Moreover, managerial support moderates the correlation between perceived usefulness and the intention to use, whereas security did not affect the intention to use and managerial support did not moderate the influence of perceived ease of use. Recommendations for Practitioners: The results suggest that financial institutions can improve their adoption decisions for big data analytics (BDA) by understanding how users perceive it. Users are predisposed to use BDA if they presume it fits well with their tasks and is easy to use. The research also emphasizes the importance of relevant information quality, managerial support, and collaboration across departments to fully leverage the potential of BDA. Recommendation for Researchers: Further study may be done on other business sectors to confirm its generalizability and the same research design can be employed to assess BDA adoption in organizations that are in the advanced stage of big data utilization. Impact on Society: The study’s findings can enable stakeholders of financial institutions that are at the primary stage of big data exploitation to understand how users perceive BDA technologies and the way their perception can influence their intention toward their use. Future Research: Future research is expected to conduct a comparison of the moderating effect of managerial support on users with technical expertise versus those without; in addition, international studies across developed countries are required to build a solid understanding of users’ perceptions towards BDA.




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Employing Artificial Neural Networks and Multiple Discriminant Analysis to Evaluate the Impact of the COVID-19 Pandemic on the Financial Status of Jordanian Companies

Aim/Purpose: This paper aims to empirically quantify the financial distress caused by the COVID-19 pandemic on companies listed on Amman Stock Exchange (ASE). The paper also aims to identify the most important predictors of financial distress pre- and mid-pandemic. Background: The COVID-19 pandemic has had a huge toll, not only on human lives but also on many businesses. This provided the impetus to assess the impact of the pandemic on the financial status of Jordanian companies. Methodology: The initial sample comprised 165 companies, which was cleansed and reduced to 84 companies as per data availability. Financial data pertaining to the 84 companies were collected over a two-year period, 2019 and 2020, to empirically quantify the impact of the pandemic on companies in the dataset. Two approaches were employed. The first approach involved using Multiple Discriminant Analysis (MDA) based on Altman’s (1968) model to obtain the Z-score of each company over the investigation period. The second approach involved developing models using Artificial Neural Networks (ANNs) with 15 standard financial ratios to find out the most important variables in predicting financial distress and create an accurate Financial Distress Prediction (FDP) model. Contribution: This research contributes by providing a better understanding of how financial distress predictors perform during dynamic and risky times. The research confirmed that in spite of the negative impact of COVID-19 on the financial health of companies, the main predictors of financial distress remained relatively steadfast. This indicates that standard financial distress predictors can be regarded as being impervious to extraneous financial and/or health calamities. Findings: Results using MDA indicated that more than 63% of companies in the dataset have a lower Z-score in 2020 when compared to 2019. There was also an 8% increase in distressed companies in 2020, and around 6% of companies came to be no longer healthy. As for the models built using ANNs, results show that the most important variable in predicting financial distress is the Return on Capital. The predictive accuracy for the 2019 and 2020 models measured using the area under the Receiver Operating Characteristic (ROC) graph was 87.5% and 97.6%, respectively. Recommendations for Practitioners: Decision makers and top management are encouraged to focus on the identified highly liquid ratios to make thoughtful decisions and initiate preemptive actions to avoid organizational failure. Recommendation for Researchers: This research can be considered a stepping stone to investigating the impact of COVID-19 on the financial status of companies. Researchers are recommended to replicate the methods used in this research across various business sectors to understand the financial dynamics of companies during uncertain times. Impact on Society: Stakeholders in Jordanian-listed companies should concentrate on the list of most important predictors of financial distress as presented in this study. Future Research: Future research may focus on expanding the scope of this study by including other geographical locations to check for the generalisability of the results. Future research may also include post-COVID-19 data to check for changes in results.




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Determinants of Radical and Incremental Innovation: The Roles of Human Resource Management Practices, Knowledge Sharing, and Market Turbulence

Aim/Purpose: Given the increasingly important role of knowledge and human resources for firms in developing and emerging countries to pursue innovation, this paper aims to study and explore the potential intermediating roles of knowledge donation and collection in linking high-involvement human resource management (HRM) practice and innovation capability. The paper also explores possible moderators of market turbulence in fostering the influences of knowledge-sharing (KS) behaviors on innovation competence in terms of incremental and radical innovation. Background: The fitness of HRM practice is critical for organizations to foster knowledge capital and internal resources for improving innovation and sustaining competitive advantage. Methodology: The study sample is 309 respondents and Structural Equation Model (SEM) was used for the analysis of the data obtained through a questionnaire survey with the aid of AMOS version 22. Contribution: This paper increases the understanding of the precursor role of high-involvement HRM practices, intermediating mechanism of KS activities, and the regulating influence of market turbulence in predicting and fostering innovation capability, thereby pushing forward the theory of HRM and innovation management. Findings: The empirical findings support the proposed hypotheses relating to the intermediating role of KS in the HRM practices-innovation relationship. It spotlights the crucial character of market turbulence in driving the domination of knowledge-sharing behaviors on incremental innovation. Recommendations for Practitioners: The proposed research model can be applied by leaders and directors to foster their organizational innovation competence. Recommendation for Researchers: Researchers are recommended to explore the influence of different models of HRM practices on innovation to identify the most effective pathway leading to innovation for firms in developing and emerging nations. Impact on Society: This paper provides valuable initiatives for firms in developing and emerging markets on how to leverage the strategic and internal resources of an organization for enhancing innovation. Future Research: Future studies should investigate the influence of HRM practices and knowledge resources to promote frugal innovation models for dealing with resource scarcity.




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Investigating the Determinants of Online Shopping Repurchase Intention in Generation Z Customers in India: An Exploratory Study

Aim/Purpose: This study investigates the factors that affect the repurchase intentions of Generation Z consumers in India’s online shopping industry, focusing on combining the Expectation-Confirmation Model (ECM) and Extended Technology Acceptance Model (E-TAM). The aim is to understand the intricate behaviors that shape technology adoption and sustained usage, which are essential for retaining customers in e-commerce. Background: Social media and other online platforms have significantly influenced daily life and become essential communication tools owing to technological advancements. Online shopping is no exception, offering a range of product choices, information, and convenience compared with traditional commerce. Indian retailers recognize this trend as an opportunity to promote their brands through e-shopping platforms, leading to increased competition. Generation Z comprises 32% of the world’s population and is a significant emerging customer base in India. Numerous studies have been conducted to study customers’ repurchase intention in the online shopping domain, but few studies have explicitly focused on Generation Z as a customer base. This study aims to comprehensively understand the topic and investigate the variables that impact consumers’ online repurchase intention by examining their post-adoption behavioral processes. Methodology: The study employed a quantitative research design with structural equation modeling using AMOS to analyze responses from 410 participants. This method thoroughly examined hypotheses regarding factors affecting repurchase intention (security, ease of use, privacy, and internet self-efficacy) and the mediating role of e-satisfaction. Contribution: This study makes a unique contribution to the field of e-commerce by focusing on Generation Z in India, a rapidly growing demographic in the e-commerce industry. The results on the mediating role of e-satisfaction have significant implications for e-retailers seeking to enhance customer retention strategies and gain a competitive edge in the market. Findings: The research findings underscore the significant influence of security, ease of use, and internet self-efficacy on repurchase intentions, with e-satisfaction playing a pivotal role as a mediating factor. Notably, while privacy concerns did not directly impact repurchase intentions, they displayed considerable influence when mediated by e-satisfaction, highlighting the intricate interplay between these variables in the context of online shopping, which is the unique finding of this study. Recommendations for Practitioners: This study has several significant implications for practitioners. Effectively addressing computer-related individual differences, such as computer self-efficacy, is crucial for boosting online customers’ repurchase intention. For instance, if an e-retailer intends to target Generation Z customers, they should collaborate with IT professionals and develop various computer literacy programs on online streaming platforms, such as YouTube. These programs will enhance target customers’ confidence in online shopping portals and increase their online repeat purchases. Additionally, practitioners should strive to improve the online shopping experience by making the portal user-friendly. Generation Z is accustomed to a fast Internet experience, so they prefer that the process of completing online transactions is swift with fewer clicks. The search for products, payments, and redress should not be tedious. Furthermore, the primary objective of the e-retailer should be to satisfy customers, as satisfied customers repeat their purchases and increase overall profitability. Recommendation for Researchers: The current study was conducted in the Delhi-NCR region of India, and its findings could serve as a basis for future research. For instance, the scale devised in this study could be utilized to examine the impact of cash-on-delivery as a payment method on purchase intention across the country. Alternatively, a comparative analysis could be conducted to compare cash-on-delivery effects in various countries. Impact on Society: The study’s findings enable stakeholders in the online shopping industry to comprehend the post-adoption behavior of Generation Z users and augment existing literature by establishing a correlation between determinants that impact repurchase intention and e-satisfaction, which serves as a mediator. Future Research: This study examines the factors that impact the propensity of Generation Z shoppers to engage in repeat online purchases. This study focuses on India, where the Generation Y (millennial) customer base is also substantial within the online shopping market. Future research could compare the shopping habits of Generation Z and Generation Y customers, as the latter may place greater importance on privacy and security. Additional studies could broaden the scope of this research and explore the comparative viewpoints of both generations. Also, it would be advantageous to conduct in-depth interviews and longitudinal studies to acquire a more in-depth comprehension of the evolving digitalization of shopping.




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The Resonance Factor: Probing the Impact of Video on Student Retention in Distance Learning




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Implications of Foreign Ownership on Journalistic Quality in a Post-Communist Society:The Case of Finance




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Resonance within the Client-to-Client System: Criticality, Cascades, and Tipping Points




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The Single Client Resonance Model: Beyond Rigor and Relevance




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Flow-Based Provenance

Aim/Purpose: With information almost effortlessly created and spontaneously available, current progress in Information and Communication Technology (ICT) has led to the complication that information must be scrutinized for trustworthiness and provenance. Information systems must become provenance-aware to be satisfactory in accountability, reproducibility, and trustworthiness of data. Background: Multiple models for abstract representation of provenance have been proposed to describe entities, people, and activities involved in producing a piece of data, including the Open Provenance Model (OPM) and the World Wide Web Consortium. These models lack certain concepts necessary for specifying workflows and encoding the provenance of data products used and generated. Methodology: Without loss of generality, the focus of this paper is on OPM depiction of provenance in terms of a directed graph. We have redrawn several case studies in the framework of our proposed model in order to compare and evaluate it against OPM for representing these cases. Contribution: This paper offers an alternative flow-based diagrammatic language that can form a foundation for modeling of provenance. The model described here provides an (abstract) machine-like representation of provenance. Findings: The results suggest a viable alternative in the area of diagrammatic representation for provenance applications. Future Research: Future work will seek to achieve more accurate comparisons with current models in the field.




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Persona Non Grata? Determinants and Consequences of Social Distancing from Journalists Who Engage in Negative Coverage of Firm Leadership

We consider how social and psychological connections among CEOs explain the propensity for corporate leaders to distance themselves socially from journalists who engage in negative reporting about firm leadership at other companies, and we examine the consequences for the valence of journalists' subsequent coverage. Our theoretical framework suggests that journalists who have engaged in negative coverage of a firm's leadership and strategy are especially likely to experience distancing from other leaders who (i) have friendship ties to the firm's CEO, (ii) are demographically similar to the CEO on salient dimensions, or (iii) are socially identified with the CEO as a fellow member of the corporate elite. Our theory and findings ultimately suggest that, due to the multiple sources of social identification between CEOs, journalists who engage in negative coverage of firm leadership tend to experience social distancing from multiple CEOs, and such distancing has a powerful influence on the valence of journalists' subsequent reporting about firm leadership and strategy across all the firms that they cover. We also extend our theoretical framework to suggest how the effect of social distancing on the valence of journalists' coverage is moderated by the early and late stages of a journalist's career.




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Financial Regulation and Social Welfare: The Critical Contribution of Management Theory

While many studies explain how social science theories shape social reality, few reflect critically on how such theories should shape social reality. Drawing on a new conception of social welfare and focusing on financial regulation, we assess the performative effects of theories on public policy. We delineate how research that focuses narrowly on questions of efficiency and stability reinforces today's technocratic financial regulation that undermines social welfare. As a remedy, we outline how future management research can tackle questions of social justice and thereby promote an inclusive approach to financial regulation that better serves social welfare.




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Dual Directors and the Governance of Corporate Spinoffs

This paper investigates how "dual directors" enable firms that undertake corporate spinoffs to manage their post-spinoff relationships with the firms they divest, as well as the performance implications of dual directors serving simultaneously on these companies' boards. While the presence of dual directors is positively associated with the average stock market returns of parent and spinoff firms, their presence is increasingly positively associated with parent firm performance but increasingly negatively associated with spinoff firm performance as the share of sales a spinoff firm makes to its parent firm rises. These findings show that while dual directors give a parent firm power over its spinoff firm, dual directors only exercise that power at the spinoff firm's expense when that company is highly dependent on its parent firm.




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Helping single mothers gain financial independence

THIS Hari Raya, The Gardens Mall is bringing the comfort of home and the memories of celebrations with loved ones to its mall decor. With many unable to travel back to their kampung to visit grandparents and other loved ones, the Mall decided to bring elements of grandma’s eclectic home to the mall for all to enjoy this year.

Step into the mall and be greeted by a burst of colour and patterns with traditional woven pandanus ware and hand-sewn patchwork fabric. Snap photos with friends and family at the various vignettes set-up along the Ground Floor. Much like atok’s garden, there is much greenery around
to coax nostalgia for the simple kampung life.

Not forgetting the underprivileged this season, over at the South Palm on the Ground Floor, The Gardens Mall is collecting your unwanted denim to donate to the single mothers of SURI. SURI is a social enterprise that employs single mothers from low-income communities to turn unwanted denim material into fashionable apparel and other household items. SURI also believes in protecting the environment through upcycling.

As part of the partnership during Hari Raya, The Gardens Mall has pledged RM10,000 to SURI for its efforts in helping these single mothers gain financial independence.




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Three suspects involved in house break-in, firearms smuggling shot dead in Penang

GEORGE TOWN: Three local men, active in firearms smuggling, house break-ins, and luxury vehicle thefts that resulted in losses exceeding RM4 million, were shot dead during a shootout at Jalan Changkat-Pulau Burung, Nibong Tebal, earlier today.

Penang police chief Datuk Hamzah Ahmad said that at 5.30 am, a team from the Penang Criminal Investigation Department (JSJ) and Seberang Perai Selatan (SPS) district police were conducting a crime prevention operation when they noticed two suspicious vehicles in the area.

“The police approached the two vehicles, a Honda Accord and a Perodua Myvi, which were acting suspiciously. Upon identifying themselves as police officers, the suspects suddenly fired several shots at our vehicles.

“The police team then returned fire in self-defence, and the three men, aged between 30 and 42, were found dead at the scene,“ he said in a press conference at the Penang Police Headquarters today.

He added that a search at the scene revealed a semi-automatic pistol, a revolver, a box of Master bullets containing 50 rounds of 9mm Luger A USA ammunition, a box of 9mm Luger D62 ammunition containing 44 rounds, two machetes, a crowbar, a sledgehammer, and various other tools used in vehicle theft.

Hamzah said checks revealed that the Honda Accord used by the suspects was a stolen vehicle, which had been reported missing in Seri Kembangan, Selangor.

He added that during the incident, the suspects were believed to be on their way to commit a robbery at a location they had already identified, which was not far from the site of the shootout.

“Initial investigations found that the three men were actively involved in luxury vehicle and 4x4 vehicle thefts, as well as house break-ins across the state since the start of this year.

“Their modus operandi was to target luxury homes, break in, and steal valuables, while the stolen vehicles would be smuggled into neighbouring countries and sold,“ he said, adding that the firearms used by the suspects were also smuggled from abroad.

He explained that none of the suspects had regular employment. The first suspect, aged 42, who was the gang leader, had 35 prior criminal offences and eight drug-related convictions; the second suspect had six previous drug-related offences, while the third suspect had no identification, and all three were believed to be criminal associates.

“With the elimination of these three criminals, police believe they have successfully solved 33 cases of vehicle theft, robbery, and house break-ins that have occurred in Penang since the beginning of this year,“ he said.




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US medical device maker Dexcom opens Penang factory with RM2.83b investment

BATU KAWAN: US-based medical devices company Dexcom Inc has officially opened its manufacturing facility, also its first offshore manufacturing site outside the United States, in Batu Kawan, Penang.

Penang Chief Minister Chow Kon Yeow said the RM2.83 billion strategic investment will bring more than 3,000 jobs to the state, contributing to a workforce set to positively impact the lives of over three million people worldwide.

Dexcom, founded in 1999, is a global leader in continuous glucose Monitoring (CGM) technology for individuals living with diabetes.

“The establishment of this new facility highlights Dexcom’s continued commitment to take control of health through innovative CGM systems. It also reaffirms Penang’s reputation as a global hub for advanced technological industries, reinforcing its position as a preferred destination for high-quality manufacturing and innovation,” the chief minister said in his speech at the opening ceremony here today.

Chow said Penang is on the right path towards becoming the medical technology (medtech) hub of Southeast Asia by leveraging on the state’s over 50 years of industry excellence.

“Housing the largest number of medtech companies nationally and regionally, Penang remains a highly attractive location for its infrastructure availability and ecosystem that meet the needs of the medtech industry.

“For the past five years (2019-2023), Penang garnered a total of RM5.8 billion worth of investments in the scientific and measuring equipment sector, representing 45% of the nation’s total investments in this sector, involving 33 projects and generating an estimated 4,630 employment opportunities,” he said.

Dubbed the Silicon Valley of the East, Penang has the highest concentration of medical technology companies in Malaysia and Southeast Asia to date. – Bernama




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Volkswagen Proposes 10% Wage Cut to Union Amid Financial Struggles

Volkswagen Group is seeking significant cost reductions as it faces declining demand, rising expenses, and mounting competition. The automaker has proposed a 10 per cent wage reduction for its union employees after IG Metall, the union representing Volkswagen’s workforce, requested a seven per cent raise. This wage cut comes as part of broader measures Volkswagen is considering to address financial difficulties, which include restructuring bonuses and possibly eliminating anniversary and monthly bonuses.

Despite these proposed changes, Volkswagen’s CEO Thomas Schafer has not ruled out more drastic options, such as plant closures, if cost-cutting goals are not met through negotiations. “Successful operations are a prerequisite for job security,” said Arne Meiswinkel, VW’s lead negotiator, highlighting the necessity for lower labour costs to stabilise the company.

Volkswagen reported a steep 42 per cent drop in third-quarter operating profits, and its core brand posted only a two per cent operating margin through September. According to CFO and COO Arno Antlitz, this underscores the need for “significant cost reductions and efficiency gains” to sustain the company’s operations.

Rumours of potential plant closures in Germany have circulated as the company confronts inefficiencies across several domestic sites. Schafer remarked that the issues cannot be resolved by “simple cost-cutting measures,” indicating deeper structural challenges within the automaker’s German manufacturing operations.

Volkswagen and IG Metall will resume negotiations on November 21.




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How Do I Avoid the Money in My Bank Disqualifying My Children From Financial Aid for College?

If you’ve sent kids to college, you’ve probably heard of FAFSA (Free Application for Federal Student Aid). FAFSA offers federal government aid via loans, grants and work-study options. It determines how much financial aid your children will get for college based on your family’s income and assets. As a parent, that includes your income, investment […]

The post How Do I Avoid the Money in My Bank Disqualifying My Children From Financial Aid for College? appeared first on Clark Howard.





nan

Nadia Khan responds to backlash over Hiba Bukhari pregnancy reveal

The popular host said she did not intend to break any confidential news, explaining her side.



  • Life & Style

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UFC Vegas 97: Brady defeats Burns by unanimous decision

Natalia Silva, Steve Garcia, Cody Durden, and Yanal Ashmouz also secure victories at the MMA event




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COP29: Why are countries fighting over climate finance?

Britain's Prime Minister Keir Starmer delivers a statement during the United Nations climate change conference COP29, in Baku, Azerbaijan November 12, 2024. — Reuters

BAKU: Climate change remains a point of concern and contention for countries around the world who are now fighting...




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Pakistan calls for 'redefining' climate finance strategy to help vulnerable nations

Prime Minister Shehbaz Sharif addressing the Climate Finance Roundtable Conference, hosted by Pakistan, on the sidelines of COP29 Climate Action Summit in Baku, Azerbaijan, November 12, 2024. — PID

Debt can't be accepted as "new normal” in...




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ICC likely to face financial loss as Pakistan mull boycotting matches with India

The International Cricket Council logo at the ICC headquarters in Dubai, October 31, 2010. — Reuters

Islamabad has decided to take a decisive stand: sources.Pakistan govt wants "sports and politics separated".Boycott of matches could affect ICC...




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Oregon a unanimous No. 1 ahead of first playoff rankings, followed by Georgia, Ohio State

Oregon was the unanimous choice for No. 1 in The Associated Press college football poll on Sunday, strengthening its bid for the top spot in the College Football Playoff selection committee's first rankings of the season.




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Christian Finances-1...God, On Money

The Christian Finances pages offer Biblical principles for employment, budget, credit, debt, savings, investment and giving. The true meaning of stewardship-employment, debt, investment, budget, giving.




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Dodgers great Fernando Valenzuela died of septic shock, medical examiner says

Fernando Valenzuela, the Los Angeles Dodgers pitching ace who helped the team win the 1981 World Series, died of septic shock last month, according to his death certificate.




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Symposium: Nature and Governance – Biodiversity Data, Science, and the Policy Interface

The EU BON project which is coordinated by the Museum für Naturkunde in Berlin/Germany has started on 1 December and will continue for 4.5 years. The EU BON Kickoff Meeting will be held in Berlin from 13 to 15 February 2013.

With respect to EU BON’s objectives the International Symposium "Nature and Governance – Biodiversity Data, Science, and the Policy Interface" will be held prior to the EU BON Kickoff Meeting from 11 to 12 February in Berlin with high-ranking speakers. You are most welcome to attend the Symposium.

The Museum für Naturkunde Berlin is pleased to host this international symposium and will bring together high-ranking speakers and guests from worldwide to talk and discuss about these

Major Topics:

  • What (data) policy needs
  • The future of biodiversity information: new ways for generating, managing, and integrating biodiversity data
  • How new approaches / models can link scales and disciplines
  • Broadening the base and opening up: new ways to engage the public and stakeholders in biodiversity monitoring and assessments
  • Résumé / conclusions

For more details, please have a look at the programme page.

The 1st day of the Symposium and the reception will be held "under the dinosaurs" in the central exhibition hall of the Museum für Naturkunde in Berlin.

The 2nd day will be held in the Seminaris Conference Center in the quiet south-west of Berlin. The closing of the Symposium will be celebrated as "Come together & Ice-Breaker for EU BON Kickoff Meeting" in the nearby beautiful Large Green House of the Botanic Garden Berlin.

If you want to take part, please register at the registration page.





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Aricle Alert: Combining internal and external motivations in multi-actor governance arrangements for biodiversity and ecosystem services

A new paper "Combining internal and external motivations in multi-actor governance arrangements for biodiversity and ecosystem services" published in the journal Environmental Science & Policy looks at ways to motivate actions for biodiversity conservation and ecosystem services provision. The paper is a result of the EU FP7 funded project BIOMOT.

Abstract: 

This paper analyses the possibility of building a mutually supportive dynamics between internally and externally motivated behaviour for biodiversity conservation and ecosystem services provision. To this purpose a face to face survey amongst 169 key actors of 34 highly successful and prominent biodiversity arrangements in seven EU countries was conducted. The main finding of the paper is the feasibility of combining inherently intrinsically motivated behaviours (providing enjoyment, pleasure from experimentation and learning, aesthetic satisfaction) and internalized extrinsic motivations (related to the identification with the collective goals of conservation policy) through a common set of governance features. Successful initiatives that combine internal and external motivations share the following features: inclusive decision making processes, a broad monitoring by "peers" beyond the core staff of the initiatives, and a context that is supportive for the building of autonomous actor competences. These findings are in line with the psycho-sociological theory of motivation, which shows the importance of a psycho-social context leading to a subjective perception of autonomy and a sense of competence of the actors.

Original Source: 

Tom Dedeurwaerdere, Jeroen Admiraal, Almut Beringer, Flavia Bonaiuto, Lavinia Cicero, Paula Fernandez-Wulff, Janneke Hagens, Juha Hiedanpää, Paul Knights, Erica Molinario, Paolo Melindi-Ghidi, Florin Popa, Urban Šilc, Nathalie Soethe, Tiina Soininen, Jose Luis Vivero, Combining internal and external motivations in multi-actor governance arrangements for biodiversity and ecosystem services, Environmental Science & Policy, Volume 58, April 2016, Pages 1-10, ISSN 1462-9011, http://dx.doi.org/10.1016/j.envsci.2015.12.003





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Symposium: Nature and Governance – Biodiversity Data, Science, and the Policy Interface

The EU BON project which is coordinated by the Museum für Naturkunde in Berlin/Germany has started on 1 December and will continue for 4.5 years. The EU BON Kickoff Meeting will be held in Berlin from 13 to 15 February 2013.
With respect to EU BON’s objectives the International Symposium "Nature and Governance – Biodiversity Data, Science, and the Policy Interface" will be held prior to the EU BON Kickoff Meeting from 11 to 12 February in Berlin with high-ranking speakers. You are most welcome to attend the Symposium.
The Museum für Naturkunde Berlin is pleased to host this international symposium and will bring together high-ranking speakers and guests from worldwide to talk and discuss about these
Major Topics:
- What (data) policy needs
- The future of biodiversity information: new ways for generating, managing, and integrating biodiversity data
- How new approaches / models can link scales and disciplines
- Broadening the base and opening up: new ways to engage the public and stakeholders in biodiversity monitoring and assessments
- Résumé / conclusions
For more details, please have a look at the programme page.
The 1st day of the Symposium and the reception will be held "under the dinosaurs" in the central exhibition hall of the Museum für Naturkunde in Berlin.
The 2nd day will be held in the Seminaris Conference Center in the quiet south-west of Berlin. The closing of the Symposium will be celebrated as "Come together & Ice-Breaker for EU BON Kickoff Meeting" in the nearby beautiful Large Green House of the Botanic Garden Berlin.
If you want to take part, please register at the registration page.

 







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