Search results

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

Electronic wallets (e-wallet) systems have revolutionized transactional activities, prompting individuals to adopt digital payment methods. This study investigates the determinants of the continuance intention of the e-wallet system Touch 'n Go in Malaysia. We propose a framework integrating the diffusion of innovation theory (DOI) and mental accounting theory, thereby assessing the impacts of product-related factors (convenience, compatibility, perceived risk and perceived compatibility) and the moderating role of personal-related factors [personal innovativeness (PI) and personal anxiety].

Data were collected involving 381 Malaysian Touch 'n Go users. The partial least squares structural equation modeling (PLS-SEM) was applied as a data analysis technique.

As demonstrated by the results, convenience serves as a facilitator, while perceived risk acts as an inhibitor, influencing the continuance intention of the application. Compatibility and perceived complexity are found to be insignificant antecedents. However, neither PI nor personal anxiety was found as moderators.

This research brings contributions to the electronic commerce literature by extending the understanding of the predictors and moderators of the continuance intention of Touch 'n Go users in Malaysia. We discuss how these findings implicate the two theories and offer insights for service providers and policymakers to promote the post-adoption intentions of Touch 'n Go.

Architectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.

This study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.

The study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.

By combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.

This study aims to investigate the effects of sponsorship on organizational identification among employees of companies that sponsor individual athletes from the perspective of internal marketing.

An online survey was conducted in July 2021 targeting employees of Company A. Specifically, employees were invited to participate via email notifications sent through the company's intranet. To clarify the impact of company sponsorships for individual athletes on employee organizational identification, this study focused on the relationship between Company A and an athlete they support. Psychometric scales were used to measure the factors of the hypothetical model, such as sponsor fit and attitudes toward sponsorship. The analysis was conducted using IBM SPSS 28.0 and AMOS 25 Graphics, and the hypotheses were tested using structural equation modeling.

We collected a total of 365 survey responses in two weeks. All the hypotheses in this study were supported, indicating that athlete identification and brand knowledge had a significant positive effect on perceived sponsor fit. In addition, attitudes toward the employer significantly have positive relationships with brand commitment and organizational identification. This study showed that perceived sponsor fit plays an important role in employee perceptions of sponsorship. Athlete endorsement is effective from an internal marketing perspective.

The limitation of this study is the selection of the research subject. Conducting the same survey targeting individual athletes with different characteristics may lead to discoveries about the impact of corporate sponsorship on employee organizational identification.

The practical implication of this study is that business executives should also use sponsorship for individual athletes as a means to unify and motivate their employees. In selecting athletes for sponsorship, it is necessary to select individuals who fit the company image. In this process, listening to employees' opinions may help select the most suitable athlete who matches the company's image.

Many studies conducted on sports sponsorship have focused on the impact on potential customers, from external marketing. Even in studies examining the effects of sports sponsorship on employees, the sponsored subjects are typically teams or events. Therefore, the originality of this study lies in examining the impact of athlete endorsement on the company's employees from the perspective of internal marketing.

The empirical studies of the options market efficiency have reported contradictory results, which sometimes confuse practitioners and academicians. The aim of this study was to clarify several aspects of options market efficiency by exploring the answers to two main questions: Under what conditions is the options market more efficient? Are the discrepancies in the estimated efficiency due to the reality of efficiency or mismeasurement?

Using a meta-analysis approach, 54 studies have been analyzed, which included 1,315 tests. The sum of the observations for all of the tests is 3.7 m observation sets. The effect size (type r) has been used to compare the different statistics in different studies. The cumulative effect size and its diversification have been calculated by the random effects model and Q statistic, respectively.

The most interesting finding of the study was that the options market, in all circumstances, is significantly inefficient. Another important finding was that the heterogeneity of options market efficiency is due to the complexity of pricing relations, test time, violation index and price type. To overcome this heterogeneity and accuracy, future studies should test the no-arbitrage options pricing relations at different times and by different price types, using complex and simple pricing relations and either mean violation or violation ratio efficiency measures.

Public disagreement about the options market efficiency in past studies means that this variable is heterogeneous in different conditions. As a significant contribution, this study develops the literature by proposing the causes of options market efficiency heterogeneity.

Engaged employees assure organizational competitiveness and sustainability. The purpose of this study is to explore the relationship between job resources and employee turnover intentions, with employee engagement as a mediating variable.

Data were collected from 934 employees of eight wholly-owned pharmaceutical industries. The proposed model and hypotheses were evaluated using structural equation modeling. Construct reliability and validity was established through confirmatory factor analysis.

Data supported the hypothesized relationship. The results show that job autonomy and employee engagement were significantly associated. Supervisory support and employee engagement were significantly associated. However, performance feedback and employee engagement were nonsignificantly associated. Employee engagement had a significant influence on employee turnover intentions. The results further show that employee engagement mediates the association between job resources and employee turnover intentions.

The generalizability of the findings will be constrained due to the research’s pharmaceutical industry focus and cross-sectional data.

The study’s findings will serve as valuable pointers for stakeholders and decision-makers in the pharmacuetical industry to develop a proactive and well-articulated employee engagement intervention to ensure organizational effectiveness, innovativeness and competitiveness.

By empirically demonstrating that employee engagement mediates the nexus of job resources and employee turnover intentions, the study adds to the corpus of literature.

Does trait mindfulness enhance refugees' potential to engage in entrepreneurial activities? Entrepreneurship is increasingly used for the socioeconomic integration of refugees and as an approach to attaining refugees' self-reliance. This study aims to explore the effects of trait mindfulness on the theory of planned behavior (TPB) antecedent variables and, consequently, refugees' entrepreneurial and implementation intentions in a low-income context.

The study uses data collected from 398 refugees from three settlements in Uganda. Participants completed a survey questionnaire related to the constructs in the TPB model (attitudes, subjective norm [SN], perceived behavioral control [PBC] and entrepreneurial intentions), trait mindfulness and intention to implement their entrepreneurial intentions. The paper uses serial mediation analysis conducted in PROCESS Macro.

As predicted, trait mindfulness was positively associated with the constructs in the TPB model and implementation intention. The three antecedent variables in the TPB model and entrepreneurial intentions mediated the association between trait mindfulness and implementation intention. In addition, the double mediation paths involving the TPB antecedent constructs and entrepreneurial intention were significant except for the path via SN and entrepreneurial intentions.

The paper provides insights for integrating trait mindfulness and the TPB model to predict refugees' entrepreneurial intentions and behavior. The study has explored the usefulness of trait mindfulness to the constructs in the TPB model, suggesting that mindfulness interventions can strengthen entrepreneurial attitudes, SN and PBC, consequently boosting entrepreneurial intentions and the likelihood of acting on one’s entrepreneurial intentions.

This study comprehensively reviews the Fourth Industrial Revolution, which refers to Industry 4.0 (IR 4.0) applications in small and medium enterprises (SMEs). Multinational companies and big corporations have the capacity and resources to implement IR 4.0, but SMEs are limited due to financial constraints, expertise and lack of resources. Even so, IR 4.0 is required as technologies evolve and market demand has changed how firms do business.

To uncover the potential of IR 4.0 and critical determinants of SMEs’ adoption of IR 4.0, this study presents a bibliometric analysis to evaluate the current research streams in IR 4.0 adoption among SMEs through bibliographic coupling. Furthermore, this review provides a glimpse of the future by analyzing prospective trends on IR 4.0 in SMEs.

Bibliographic coupling produces five clusters: (1) challenges and barriers in IR 4.0 implementation among SMEs, (2) technological adoption of IR 4.0, (3) opportunities and benefits of IR 4.0, (4) business model innovation and (5) implication of IR 4.0 on SMEs technologies. On the contrary, co-word analysis produces three clusters: (1) technologies in IR 4.0, (2) strategy and management of IR 4.0 among SMEs and (3) IR 4.0 model for SMEs.

Implications are directly related to business owners, policymakers and technology developers meeting the needs of the industry and SMEs, which are the focus of this review.

The findings contribute significantly to the body of knowledge by presenting a state-of-the-art science mapping approach to uncover the knowledge structure and intellectual linkage of IR 4.0 adoption within SMEs.

Although there has been an increase in the application of a variety of robust technologies and systems, the oil and gas sector relies on project managers’ soft skills for success because of their vital role. Therefore, this study aims to explore the profound influence of project managers’ soft communication skills on successful risk management within Libya’s oil and gas projects.

A review of relevant literature and a quantitative approach through the administration of a questionnaire were used to determine factors impacting risk management implementation related to managerial communication skills. A total of 246 valid responses were received from the oil and gas companies in Tripoli, Libya. Partial least squares structural equation modelling was used to examine the direct and moderating relationship drawn by the hypotheses.

The findings suggest that managerial soft skills may be used to improve continuous risk management processes and intra-project communication. It was found that the experience is strengthening the positive relationship between written communication soft skills and project risk management implementation among Libyan oil and gas construction projects.

This study defines project managers’ soft communication skills and analyzes project managers’ soft communication skills with the role of experience as a moderator. This paper presents a valuable contribution by offering original insights tailored explicitly to the Libyan context. The information presented in this paper is relevant to project managers operating within the oil and gas industry. It also offers a novel approach to risk management in the Libyan oil and gas industry that can improve project efficiency and effectiveness.

This article aims to provide greater clarity regarding the conceptualization and critical role of digital marketing ecosystems for the global expansion of multinational enterprises (MNEs) and offer novel research directions to prompt future research.

The authors first review the marketing literature related to marketing ecosystems, highlighting the evolution of this body of work across a range of domains such as services, innovation and new product development, communications and marketing strategy more broadly. Next, two case examples of MNEs whose global expansion efforts have been supported by their marketing ecosystems are used to highlight the role of marketing ecosystems in global market expansion. Finally, novel research directions are offered to prompt future research and provide greater insight into this emerging area.

The case examples we examine yield important insights into the role of marketing ecosystems for MNEs expanding from emerging markets (EMs) to developed markets (DMs). EM-MNEs such as TEMU face more communication and payment ecosystem challenges while opening their supply chain to DMs. Contrary to EM-MNEs, DM-MNEs face institutional and sociocultural challenges that require different marketing ecosystem orchestration approaches.

Marketing ecosystems can provide MNEs with greater multinational flexibility, enabling them to adapt their global strategies to navigate increasing complexities in global markets, such as trends toward increased protectionism and geopolitical disruptions. However, there is surprisingly little research addressing this issue.