Search results

This paper seeks to discover whether the technical, organisational and technology acceptance model (TAM) factors will significantly affect the adoption of blockchain technology (ABT) amongst SMEs.

The research employs structural equation modelling (SEM) and a machine learning approach to identify factors influencing the ABT behaviour that leaders can use to predict the prospect of the ABT in their enterprises. Information was collected from 255 respondents representing 166 SMEs in the food industry, Palestine.

The analyses reveal that the ABT is positively and significantly shaped by TAM factors: (1) perceived benefits and (2) perceived ease of using blockchain. Simultaneously, the former is significantly influenced by compatibility and upper management support, while the latter is affected by complexity. Finally, education and training affect both factors.

This paper is amongst the first attempts to examine the ABT behaviour in the food industry using the integration of SEM and machine learning approach.

The study aims to deliver a decision support system for business leaders to estimate the potential for effective technological adoption of the blockchain (TAB) with a machine learning approach.

This study uses a Bayesian network examination to develop an extrapolative system of decision support, highlighting the influential determinants that managers can employ to predict the TAB possibilities in their companies. Data were gathered from 167 SMEs in the largest industrial sectors in Palestine.

The results reveal perceived benefit and ease of use as the most influential determinants of the TAB.

This research is an initial effort to examine factors influencing TAB in the perspective of SMEs in Palestine using machine learning algorithms.

Sustainable supply chain management (SSCM) practices and green entrepreneurial preference (GEP) have gained increasing attention from academicians; however, their impacts on business' competitive performance (BCP) post-coronavirus disease of 2019 (COVID-19) remain unclear. Although SSCM is vital for supporting BCP, the previous publications indicate the absence of significant relationships among GEP, SSCM and BCP. This study tries to fill this literature gap by investigating if GEP and SSCM can shape BCP. This study also suggests the moderation effect of digital innovations such as artificial intelligence and big data analytics (AIBD) on those relationships from a COVID-19 viewpoint.

Data were collected from 245 Halal food firms in Yemen, and the research framework was assessed using structural equation modeling (SEM).

The empirical findings show that there are significant impacts of GEP on SSCM and subsequently on BCP. The findings also reveal that SSCM practice mediates GEP-BCP link. Besides, digital innovations such as AIBD positively moderate the link of GEP-SSCM.

This study is the first attempt that advises Halal food firms to formally adopt GEP, SSCM and digital innovations to boost BCP, especially in uncertain times like post-COVID-19. Unlike earlier studies that observe SSCM usage as a direct predictor of firm performance, this study delivers an innovative insight that digital innovations can assist in GEP and SSCM incorporation in the in-house operations of the firms post-COVID-19.

The COVID-19 outbreak has worsened the issues of obesity and overweight in Indonesia. Technologies related to mHealth are becoming more popular for its capability to lessen obesity, if enabled by patient-focussed consultation. The paper assesses influential determinants of medium workout for obese and overweight adults post-COVID-19.

A total of 1,171 participants who self-stated being overweight and called on a health professional in the previous year are chosen using cross-sectional survey. Participants stated their mHealth tracking behaviours, viewpoints regarding obesity, bodily activities and consultation post-COVID-19 epidemic. This study uses structural equation modelling to assess inter-variables relationships.

Patient–professional e-consultation is substantially related to mHealth tracking adoption and transformations in adults' obesity-associated viewpoints, forecasting adequate workout post-COVID-19. The results indicate the necessity of patient-focussed consultation meetings to incorporate communications about mHealth technology and available techniques of joining in bodily activities.

The research is the first effort to assess primary information from obese and overweight Indonesian adults post-COVID-19 epidemic (January–July 2022). The population can take advantage of pointed health interferences employing mHealth innovations. The results propose that health professionals must involve patients through mHealth technologies and attempt to enhance digital health knowledge to advance bodily activities nationally.

This paper aims to explore the effects of the Coronavirus outbreak and the subjective norm and attitude on shopper’s intentions to purchase Hijab online. It hypothesises the influences of the Coronavirus outbreak as situational determinants, which include the place accessibility (e.g. the shutting of physical Hijab stores) and stores environment (e.g. well-being risks in physical shops, online shopping movement and extra marketing attempts from online Hijab stores through the outbreak).

Structured questionnaires were retrieved from 366 female Muslim shoppers, both wearing and not wearing Hijab. ADANCO 2.0.1 programming and PLS-SEM were applied in empirical investigation.

The results on direct relationships reveal that the Coronavirus outbreak situational determinants including place accessibility (ACCESS) and store environment (ENVIRO) and shopper’s attitude towards online Hijab purchase (ATTITU) are strong predictors of online Hijab purchase intention (ONLINE). At the same time, the subjective norm (SUBJEC) predicts ATTITU. The indirect mediation between SUBJEC on ONLINE was also confirmed.

These discoveries would help the Hijab business players, i.e. online sellers, retailers and marketers to increase their web pages’ quality and marketing efforts.

The research is an initial concept and empirical evidence investigating the Coronavirus outbreak’s situational influences and the effects of attitude and subjective norm on shoppers’ intentions to purchase Hijab online.

This study aims to examine the links between company performance (CP) and supply chain (SC) orientation considering halal small and medium-sized enterprises (SMEs) in Kazakhstan. The SC orientation framework integrates three aspects to determine CP, i.e. credibility, commitment and top management support.

Halal SMEs were reviewed; 271 valid responses were obtained and scrutinised, employing the partial least squares structural equation modelling technique.

The credibility of SC stakeholders performs the main impact on the CP of halal SMEs in Kazakhstan. Meanwhile, commitment and top management support show fewer influences, although they significantly impact CP.

This study confirms the relationships between SC orientation and CP from the perspective of halal SMEs. The social capital theory was applied to explain these relationships. It is the initial attempt to investigate such relationships in a post-Soviet Union country.

The purpose of this paper is to understand the influence of knowledge-sharing behavior (KSB) on the innovative work behavior (IWB) and job satisfaction (JS) among employees considering the moderating role of motivating language (ML) of supervisors.

The hypothesized relationships were examined applying modeling of structural equation and hierarchical multiple regression analysis. The data was collected from Chinese multinational companies in Kazakhstan with final sample of 322 respondents.

The findings suggest that the link between KSB and JS is significantly positive with the moderating impact of ML, while KSB itself has significantly negative effect on JS. Moreover, ML buffers the insignificant effect of KSB on IWB.

Research is atypical, as it has focus on the moderating roles of ML in the direct relationship of employee KSB and JS, and in the direct linkage of employee KSB and IWB in Chinese multinational organization in the network field.

The study has three primary purposes, i.e. (1) to examine the determinants influencing customers’ online purchase intent for modest wear; (2) to measure the effects of electronic innovativeness, fashion innovativeness, perceived value, and trust on the intent to buy modest wear via the Internet; (3) to inspect how the factor “trust” can affect the “perceived value” of modest wear purchase through e-commerce; and (4) to explore the roles of “attitude” and “religiosity” in influencing customers’ intent to purchase modest wear online.

561 Muslim consumers were reviewed in the study. According to the conceptual framework established through a literature review on the constructs suggested, measurement items were modified to the study’s perspective, and a 31-item questionnaire was applied. A regression examination of potential variables was applied using ADANCO version 2.0.1 software and the PLS-SEM.

The findings signify that the leading factors affecting online modest wear purchase intent are fashion innovativeness, electronic innovativeness, perceived value, trust, attitude, and religiosity. Meanwhile, trust is the predictor of perceived value, and religiosity is the predictor of attitude.

There are only two notable studies that focus on modest fashion purchase intention in the online channel with examining only three influential factors. The study is an initial effort to examine new and more complete leading factors affecting online modest wear purchase intent including fashion innovativeness, electronic innovativeness, perceived value, trust, attitude, and religiosity.

Although previous studies have studied the impact of spiritual leadership (SL) on employees’ innovation, the research on mechanisms and the boundary conditions for stimulating this relationship is scant. This paper aims to follow the idea of social capital theory (SCT), which contends that social relationships are resources that lead toward the development of intellectual capital, important for innovative work behavior (IWB) of employees; the mediating role of knowledge sharing self-efficacy (KSSE) and moderating role of innovation climate (IC) are considered.

The authors collected the data from the foreign and local employees working in multinational companies in China. The quantitative analysis was performed using Smart-PLS 3.0.

The results indicated that employee high-ranking of SL is positively related to KSSE. Moreover, SL is significant to enhance IWB, whereas KSSE explained this relationship. The authors also suggest that an employee’s KSSE is significant to form important behavior at work (IWB). However, IC did not play its moderating role in the SL – IWB link.

This study explores the influence of the leadership style (SL) on employees’ KSSE and the effect of KSSE on IWB, which have not been studied previously. The current study confirms the relationship between SL and IWB in the multicultural workplace and reveals the deeper influence of an individual’s belief (KSSE) mechanism between them. SCT was applied to explain the proposed relationships.