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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 paper examines the intent to adopt blockchain-facilitated Halal traceability (BFHT) scheme in Indonesian firms' Halal food supply chain (SC). This study integrates Halal-focused attitude, innovation diffusion and institutional theories to construct the model.

Data collection uses a simple random sampling method. Respondents are company leaders with experience and knowledge regarding Halal SC. The SEM-PLS approach was applied to test the hypothetical structure.

The intent to adopt BFHT is considerably affected by perceived attractiveness, as perceived attractiveness is considerably affected by institutional forces, which are significantly influenced by Halal-focused attitude. Firms that follow a completely Halal-focused attitude show higher awareness regarding institutional forces that motivate them to adopt a BFHT.

This research is among the initial works regarding Halal SCs that integrate Halal-focused attitude, innovation diffusion and institutional theories to recognise firms' intent to adopt a BFHT scheme.

The paper seeks to investigate the impacts of government's incentives and internal aspects (i.e. firms' ethics and firms' attitudes) on the implementation of sustainability-oriented technology (SOT) among small and medium-sized enterprises (SMEs) in Tonga. Those aspects are imperative to examine as numerous enterprises in developing nations possess insufficient assets that suspend applying innovations, specifically SOT incorporated with enterprise management. Thus, it is unavoidable for an intermediary to intervene in technology implementation, and developing the more effective implementation process is reckoned. Meanwhile, governments possess the assets and authority to motivate the SOT implementation extensively. Therefore, this paper assesses governmental factors as influencing drivers for realizing cost-effective and well-organized implementation.

The paper employs the partial least squares structural equation modeling (PLS-SEM) technique to assess the information collected from 266 Tongan SMEs.

The outcomes indicate that government's policy and subsidies positively and significantly shape firms' ethics and attitudes regarding SOT implementation in Tonga.

The research analyzes the SOT implementation in a single country of Tonga; thus, the findings cannot be generalized to other emerging countries. Besides, this study selects SMEs as the sample; hence, it cannot be used to explain the behaviors of large companies.

The research is the first attempt to assess such impacts in the SMEs of a South Pacific nation.

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 scarcity of literature related to the PPP (public-private partnership) barriers in construction projects within war areas, and hence the dearth of information to deliver viable and effective strategies to those barriers, are the primary causes for the failures of PPP schemes in such areas, particularly in Palestine. Financial and non-financial investments are more problematic in war zones than non-war nations and may escalate barrier for projects' success. The investigation purposes to discover proper answers to the barriers of PPP infrastructure schemes and highlight the execution of barrier reactions.

Specialists were asked to deliver approaches to alleviate 21 barriers and recommend the period needed for applying them. Later, the relevance of alleviation events was examined through prioritization according to the results attained from three elements, i.e. the impact of every barrier and the strategy's viability and efficacy.

While the most unfavorable barrier was finalized to be the unfeasibility of delivering physical security, the most valid answer was associated with the lack of government cohesiveness and responsibility to perform its duties. The discovered barriers are typical within warring nations, but the paper concentrated on Palestine.

This study is an initial effort to examine PPP barriers in Palestinian infrastructure projects. The presented strategies can be applied as a novel set for barrier reaction improvement in occupied nations such as Palestine. Moreover, the results can develop the usage of PPP and enhance the barrier sharing in this scheme.

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 study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.

Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).

The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.

Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.

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.