Search results

This study aims to analyze the determinants of small and medium enterprise (SME) sustainability through online marketing technology innovation.

The study was conducted through a survey in Siak Regency and Dumai City, Riau Province, Indonesia. The study population is small entrepreneurs doing online marketing. The determination of this survey area is by considering: the use of online marketing technology in this area is relatively more developed than other regions; Siak Regency and Dumai City are very prospective to be used as small business development areas based on online marketing; and the sample was determined by purposive random sampling with the criteria of small entrepreneurs who have tried to do online marketing for at least six months. Based on these criteria, there are 301 small entrepreneurs who conduct online marketing as a sample.

The sustainability of SMEs is directly and indirectly influenced by government support, human resource quality, innovation costs, economic conditions and business partners through online marketing technology innovations. Online marketing strategy through targeting, segmentation and positioning marketing strategies. Implementation of online marketing technology innovation models: increased government support; improvement of human resources; provision of innovation cost allocation; government policies in maintaining economic stability; and increase in business partners.

Limited access to data can limit the interpretation of correlations between the variables studied. This limitation is because the available data is limited to certain periods and certain geographical regions. In addition, research time constraints limit the ability to conduct more in-depth interviews and obtain additional data relevant to the topic being studied.

Practical implications: 1) Targeting marketing strategy is a staged strategy to select a target market. The target market for SME products is intermediary consumers (agents) and end consumers; 2) Segmenting marketing strategy is a stage strategy to determine market segments. The market segment of SME products is based on consumer characteristics, namely, the local market and markets outside the region. SME product market segments based on consumer response characteristics, namely, market segments based on product benefits and consumer loyalty; 3) Positioning marketing strategy is a strategy for the development stage of each product detail placement and the development of a 4P mix strategy, namely, product, price, place and promotion.

The implementation of this research policy is: increased government support in facilitating online marketing; increased human resources in online marketing; provision of cost allocation of innovation in online marketing; government policy in maintaining economic stability; and increased business partners in online marketing. Model implementation requires mentoring and training through cooperation with business partners.

The sustainability of SMEs requires online marketing technology innovation. These findings can help provide an alternative solution to the weak resources of SMEs. With the discovery of the determining factor for the sustainability of SMEs, it can accelerate the SME digitalization program.

ChatGPT is a new development in this technological era. This artificial intelligence-based tool responds to individuals’ queries and produces the requested content within seconds. Therefore, it is becoming popular among academics, the research community and library professionals. This study aims to test (through personal interaction with the tool) the authenticity of the ChatGPT’s produced records. Another objective of the research is to check the relevance between the individuals’ queries and the tool’s results. The research also intends to identify the challenges in retrieving information through ChatGPT.

The five researchers from different countries and organizations experienced ChatGPT by asking questions on more than 70 subjects. The responses were recorded in Notepad and converted into MS Excel and MS Access to standardize and analyze the data. The investigators consulted 11 reputed databases/sources, including Web of Science and Scopus, to assess the authenticity of the data retrieved through ChatGPT.

The findings confirmed that over 90% of results produced by ChatGPT were fake (the information did not exist in the literature). Similarly, the study sheds light on the discrepancies, such as irrelevant and incomplete information in the data generated by ChatGPT.

This is a unique study that shares the findings based on the different regions’ researchers’ personal experiences with ChatGPT. The researchers covered different subject areas (above 70) while asking questions to ChatGPT. The paper shares implications for researchers, students, faculty members, academic/research organizations and policymakers.

This study aims to analyse the literature published on ChatGPT and generative pre-trained transformer (GPT) available through Scopus to identify the top countries, institutions, authors, journals and titles in terms of publishing and citations in the area.The research also intends to determine the collaborative trends among countries and authors as well as top-used keywords on the topic identified from the analysed literature.

The researchers searched the Scopus database to collect and assess the literature on the topic. The paper used six applications such as Biblioshiny, VosViewer, Python, MS Access and Excel and Endnote to collect and analyse the literature.

It is found that European countries such as the USA, the UK and Germany took the lead in terms of publishing and impact in the area but the USA stood first with 90 publications and 1,720 citations in this connection. Likewise, the organization “Rheinisch-Westfälische Technische Hochschule Aachen” scored the top position regarding publishing, but Open AI remained on top for getting the highest citations (1,384). Apropos, the author “Choi, Y” produced the highest number of publications. The research also shares the collaborative patterns, top journals and publications in the area, as well as the top-used keywords on the topic.

To the best of the authors’ knowledge, this is the first study that shares a bibliometric analysis of literature published on GPT and ChatGPT. The research not only fills the research gap on the topic but also shares implications for relevant stakeholders and future research directions for future researchers.

This study aims to meta-synthesize the relationship between intellectual capital (IC) and the financial performance of Islamic banks. Specifically, it examines how different components of IC – human capital, structural capital, relational capital and capital employed – impact key financial performance metrics, including return on assets (ROA), return on equity (ROE) and Tobin’s Q (TQ).

A comprehensive meta-analysis was conducted, following the PRISMA guidelines, to synthesize findings from 29 peer-reviewed journal articles indexed in Scopus and Web of Science having accumulative sample size of 8,871. Effect sizes were calculated using Fisher’s r-to-z transformation, and a random-effects model was applied to estimate the overall effect sizes. Subgroup meta-analyses were performed to evaluate the relationships between specific components of IC and various financial performance measures.

The meta-analysis confirms a positive and statistically significant effect size (r = 0.227, p < 0.001) between IC and financial performance in Islamic banks. Human capital shows the strongest positive impact on ROA and ROE, highlighting the role of skilled employees in driving success. Structural and relational capital exhibit weaker and variable effects, whereas capital employed significantly enhances profitability. These findings underscore the complex nature of the IC–financial performance link, emphasizing the need for strategic management to optimize IC benefits.

This study fills a gap in the existing literature by providing a comprehensive meta-analysis focused on Islamic banks, which operate under unique principles compared to conventional banks. By highlighting the significant role of IC, particularly human capital, this research offers valuable insights for academics, practitioners and policymakers aiming to enhance the financial performance and sustainability of Islamic banks through strategic management of intellectual assets.

This study aims to systematically assess and map the evolution, themes and trends within Islamic marketing research, with a focus on identifying areas of high growth potential and guiding future research directions.

Using a bibliometric analysis and advanced structured topic modeling (STM) techniques, this research analyzes Islamic marketing studies published between 2000 and 2024. The comprehensive database search, centered on Scopus-listed publications, provides a macroscopic view of the field’s development over the past two decades.

This study reveals significant insights into the field of Islamic marketing, including the identification of key research themes, the growth in literature and geographical hotspots of scholarly activity. Emerging trends suggest a growing focus on consumer behavior, brand loyalty, Halal certification and ethical marketing practices.

This research is limited by its reliance on the Scopus database for source materials, and by focusing primarily on English-language publications. These constraints may have excluded relevant research in other languages or published in nonindexed formats.

This study offers valuable insights for marketers, businesses and policymakers aiming to engage the Islamic market. Understanding the dynamics of Islamic marketing can help in developing strategies that align with Muslim consumers’ values and preferences.

This research contributes to the Islamic marketing literature by using bibliometric analysis and STM, offering a unique, comprehensive overview of the field’s evolution, trends and future directions. It underscores the importance and growth of Islamic marketing as an independent academic discipline.

This study aims to investigate the effect of organizational ambidexterity (OA) and organizational green culture (OGC) on corporate sustainability (CS) while incorporating the mediating role of green innovation (GI) to provide a detailed insight into CS. The study also presents a research framework based on the Organizational Ambidexterity theory and Natural Resource-based view to explain the factors contributing to CS.

Using stratified sampling, the study collected data through survey-based empirical research from 307 textile companies registered with the Securities and Exchange Commission of Pakistan (SECP) or the All-Pakistan Textile Mills Association (APTMA). The collected data were analysed using path analysis, mediation analysis and moderation analysis through smart PLS-SEM version 4.0 to assess the composition and causal association of factors.

The study found a significant relationship between OA and OGC with CS. Furthermore, the study revealed that green innovation partially mediates the relationship between OGC and CS. The proposed research framework can be valuable for promoting and recommending actions to enhance CS.

The study on CS in the textile sector of Pakistan has limitations such as a narrow focus, cross-sectional design and reliance on self-reported data. Future research should explore additional factors, conduct longitudinal research, investigate contextual factors, scrutinize specific green innovation practices and broaden the scope of the study to include SMEs and other textile organizations.

The research framework can help senior executives to foster CS by promoting OGC, OA and GI. Practitioners and academicians can also utilize or further investigate the proposed framework for validation and to foster CS.

This study fills gaps in the existing literature by investigating the mediating effect of GI between OGC and CS. The proposed research framework provides a comprehensive understanding of the factors contributing to CS based on the Organizational Ambidexterity theory and Natural Resource-based view.

This study aims to investigate how work overload, resulting from full-time telecommuting, aggravates telecommuting accounting professionals’ burnout via the mediation of work exhaustion. Further, the study also tests the conditional moderation effect of psychological capital on the association between work exhaustion and burnout, proposing that it becomes least severe for employees who perceive a high level of psychological capital.

The research was conducted using a sample of 322 employees from Big Four accounting firms, and the measurement model was established using confirmatory factor analysis. Hypotheses were tested using structural equation modeling and model-14 in the PROCESS Macro for SPSS.

The results confirmed that work overload directly and indirectly (via the mediation of work exhaustion) aggravates employees’ burnout. However, psychological capital negatively conditions the mediating effect of work exhaustion on burnout such that the aggravating effect of work overload on burnout, via the mediation of work exhaustion, gets least severe (insignificant) for those employees who perceive a high level of psychological capital.

The study contributes to the literature on work overload-induced “work exhaustion burnout” association and offers suggestions for implications.

This study explores the effect of inclusive leadership (IL) on organizational commitment (OC) in Pakistan’s telecom sector. Psychological safety (PS) and perceived organizational support (POS) are taken as mediators to explore the interplay of the constructs. The study aims to contribute to the existing literature by providing insights into the critical role of inclusive IL impacting OC through PS and POS as mediators.

This study uses a quantitative methodology and a cross-sectional survey of 289 employees of the telecom sector working in the front office dealing with customer services. Using confirmatory factor analysis and structural equation modeling, the study tests hypotheses on the critical role of OC in Pakistan’s telecom sector. With the aid of SPSS v27 and AMOS v23 for structural equation model construction and path analysis, a time-lagged data collection method was used to avoid common method bias.

According to the research paper’s findings, evidence supports the hypotheses, suggesting that IL has a positive direct and indirect impact on OC via PS and POS.

This study adds to the existing body of knowledge on IL, PS, POS and OC. This study also tests the mediating role of PS and POS in Pakistan’s telecom sector’s service domain. This research also provides practical implications for leaders and employees concerning PS and POS in the specific context of Pakistan’s society.

This study aimed to examine the correlation between authentic leadership and career competence, exploring the mediating roles of tacit knowledge sharing and employee service innovative behavior.

Data were collected using convenience sampling and a time-lagged design from the Pakistani banking sector. The time-lagged design was employed to gather data at two different points in time. SPSS statistical software was used for descriptive analysis, and hypotheses were tested using Mplus.

The results demonstrate that authentic leadership has a significant positive impact on tacit knowledge sharing. This knowledge sharing, in turn, positively impacts employee service innovative behavior, which subsequently enhances career competence. Furthermore, tacit knowledge sharing mediates the relationship between authentic leadership and employee service innovative behavior.

This study has social implications for organizations aiming to align their inclusive goals with societal needs. The findings can help foster a culture of knowledge sharing, thereby contributing to societal innovation.

This study provides valuable insights into how authentic leadership contributes to career competence, thus enriching the existing literature on this topic.

This study purposes a model based on competitive advantage theory, social identity theory and signaling theory that explores the relationship between GHRM and employer branding mediated by corporate environmental sustainability and organizational safety climate and employees experience as a moderator.

Data were gathered using a survey questionnaire from 329 employees working in this sector. Structural Equational Modeling was employed for data analysis through Smart PLS.

Results confirm that GHRM has a positive influence on corporate environmental sustainability and corporate environmental sustainability has a positive influence on organizational safety climate. Further, the results confirm that the organizational safety climate has a positive influence on employer branding. The results of partial least squares multi-group analysis show that difference between job experience influences employer branding. The results also lend support to the mediating effects of corporate environmental sustainability between GHRM and organizational safety climate, and the mediating effect of organizational safety climate between GHRM and employer branding.

The findings of the study guide policymakers and management of the textile industry to emphasize GHRM in order to make a working climate clean and safe. This working environment will be their competitive edge and a source of their organization branding.

HR literature has largely overlooked the physical work environment, instead focusing on psychological safety, for example (job stress, emotional exhaustion). This study presents a model demonstrating that a green work environment, fostered through GHRM practices enhances employer branding.