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This study investigates the impact of big data analytics capabilities on export performance. Moreover, it assesses the mediating effect of the supply chain innovation and moderating effect of supply chain agility.

This study is based on primary data that were collected from the manufacturing sector operating in Jordan. A total of 327 responses were used for the final data analysis. Data analysis was performed via a partial least square structural equation modeling (PLS-SEM) approach.

The results of the data analysis supported a positive relationship between big data analytics capabilities and the export performance as well as a mediating effect of supply chain innovation. It was confirmed that supply chain agility moderated the relationship of supply chain innovation and export performance.

This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, export performance, supply chain innovation and supply chain agility. This study offers new theoretical and managerial contributions that add value to the supply chain management literature by testing the moderated-mediated model of these constructs in the manufacturing sector in Jordan.

The academic literature on women’s entrepreneurship in the internationalization of small and medium-sized enterprises (SMEs) continues to increase, possibly due to the enormous potential of women’s entrepreneurship to promote social empowerment and economic growth in a country. This study aims to systematically review existing research on women’s entrepreneurship in the internationalization of SMEs and provide a robust understanding of academic developments in this field. This study also aims to identify and explore key thematic areas within the research field related to women’s entrepreneurship in SME internationalization.

This study selected 62 articles retrieved from the four databases (Scopus, Web of Science, EBSCO and Google Scholar). Content analysis was conducted to identify key research issues and gaps, which were then mapped on cluster themes. VOSviewer was used to represent the research cluster themes visually.

This study identifies and discusses six research streams related to the concept of women’s entrepreneurship in SME internationalization: export behavior and gender in SMEs; entrepreneurship and country economic development; gender, innovation and performance in SME internationalization; women entrepreneurship in international business and management research; internationalization process of SMEs; and business experience and export experience. Some topics that emerged as potential for future research include personal and organizational dynamics, internationalization behavior, decision-making, adoption of strategies or technologies and orientation toward international markets.

This study offers valuable insights for policymakers and stakeholders aiming to foster women’s entrepreneurship within the internationalization landscape of SMEs. The findings provide a roadmap for identifying underexplored areas in women’s entrepreneurship within SME internationalization, guiding future research initiatives.

The purpose of this paper is to study triadic market relations between an international aid agency (IAA), local ventures and the poor communities where they are embedded in order to shift the poverty alleviation discussion to account for the perceptions held by each category of actor, especially those of poor communities. Poverty alleviation is a key commitment of the United Nations, and market-driven approaches are increasingly advocated as a means to reduce poverty, particularly among IAAs. One such strategy is to connect ventures in poor communities with international markets. However, research shows that such approaches have mixed success.

The authors conducted a comparative case study of three ventures embedded in urban and rural poor communities receiving support from an IAA. The authors then analyzed the data to determine the mechanisms that led to discrepancies in the perceptions of poverty alleviation held by each actor involved.

This study suggests three such mechanisms: ‘decoupling markets from poverty’, wherein aiding ventures may paradoxically lead to decoupling them from poor communities; ‘overburden stress’, in which ventures cannot fulfil a poverty alleviation role through their market activities because the expectation to do so overburdens the venture; and ‘value divergence’, in which the actors involved evaluate the impact of these approaches differently.

The authors propose that a key aspect of enabling effective poverty alleviation through market-driven approaches in terms of substantial, long-term contributions is to monitor and support the relations between the actors involved – including the poor communities themselves – and explore how each perceives the efficacy of the approach.

El objetivo de nuestro estudio es integrar las percepciones de tres actores: los organismos internacionales, los emprendimientos en comunidades pobres y las propias comunidades pobres, con el fin de cambiar la discusión sobre la reducción de la pobreza hacia las percepciones de los diferentes actores involucrados en las relaciones de mercado, en particular las de las comunidades pobres. La reducción de la pobreza es un compromiso clave de las Naciones Unidas, y en la actualidad se promueven enfoques de mercado como un medio para reducir la pobreza, especialmente entre los organismos internacionales. Una estrategia consiste en conectar emprendimientos en comunidades pobres con mercados internacionales. Sin embargo, investigaciones previas muestran que estos enfoques de mercado tienen un éxito variado en ciertas ocasiones y en otras no.

Realizamos un estudio de casos comparativo de tres emprendimientos en comunidades pobres urbanas y rurales que reciben apoyo de un organismo internacional. Luego, analizamos nuestros datos para determinar qué mecanismos condujeron a discrepancias en las percepciones de cada actor involucrado con respecto a la reducción de la pobreza.

Nuestro estudio identifica tres mecanismos que explican las discrepancias en las percepciones de los actores involucrados con respecto a los enfoques de mercado para la reducción de la pobreza: ‘desvinculación de los mercados de la pobreza’, en donde el apoyo a los emprendimientos puede llevar paradójicamente a separarlos de las comunidades pobres; ‘estrés de sobrecarga’ que captura situaciones en las que los emprendimientos no pueden cumplir su función de reducción de la pobreza a través de sus actividades en el mercado debido a que la expectativa de hacerlo, aunque implícita, sobrecarga al emprendimiento; y ‘divergencia de valores’ que muestra que los actores involucrados a menudo evalúan de manera diferente el impacto de los enfoques de mercado en la pobreza.

Proponemos que un aspecto clave de la reducción efectiva de la pobreza a través de enfoques de mercado que hagan contribuciones sustanciales y a largo plazo es monitorear las relaciones y la eficacia percibida entre todos los actores involucrados en estos enfoques, incluyendo a las propias comunidades pobres.

El objetivo de nosso estudo é integrar as percepções de três atores: os organismos internacionais, os empreendimentos em comunidades pobres e as próprias comunidades pobres, com o objetivo de mudar a discussão sobre a redução da pobreza para as percepções dos diferentes atores envolvidos nas relações de mercado, particularmente as das comunidades pobres. A redução da pobreza é um compromisso chave das nações unidas, e atualmente abordagens de mercado são promovidas como um meio para reduzir a pobreza, especialmente entre os organismos internacionais. Uma estratégia consiste em conectar empreendimentos em comunidades pobres com mercados internacionais. No entanto, pesquisas anteriores mostram que essas abordagens de mercado têm sucesso variado em algumas ocasiões e em outras não.

Realizamos um estudo de casos comparativo de três empreendimentos em comunidades pobres urbanas e rurais que recebem apoio de um organismo internacional. Em seguida, analisamos nossos dados para determinar quais mecanismos levaram a discrepâncias nas percepções de cada ator envolvido em relação à redução da pobreza.

Nosso estudo identifica três mecanismos que explicam as discrepâncias nas percepções dos atores envolvidos em relação às abordagens de mercado para a redução da pobreza: ‘desvinculação dos mercados da pobreza’, onde o apoio aos empreendimentos pode paradoxalmente separá-los das comunidades pobres; ‘estresse de sobrecarga’ que captura situações em que os empreendimentos não podem cumprir sua função de redução da pobreza por meio de suas atividades no mercado devido à expectativa de fazê-lo, mesmo que implicitamente, sobrecarregando o empreendimento; e ‘divergência de valores’ que mostra que os atores envolvidos frequentemente avaliam de maneira diferente o impacto das abordagens de mercado na pobreza.

Propomos que um aspecto-chave da redução efetiva da pobreza por meio de abordagens de mercado que façam contribuições substanciais e a longo prazo é monitorar as relações e a eficácia percebida entre todos os atores envolvidos nessas abordagens, incluindo as próprias comunidades pobres.

Uzbekistan, a former Soviet Union state whose population is 96% Muslim, is aiming to penetrate the global halal market. Since 2016, its government has been committed to establishing a halal economy, purportedly comprising halal product exports and inbound halal tourism services. Given that a conducive halal ecosystem is a critical condition for creating and sustaining a viable halal economy, the current condition of the halal industry in the country must be diagnosed. For this purpose, we developed a diagnostic framework based on the halal principles and the Viable System Model (VSM) to identify the existing players and stakeholders in the halal industry ecosystem in Uzbekistan and their respective roles and functions, as well as the information flows amongst them.

The study utilised the qualitative methodology with the data gathered mainly from in-depth interviews with industry experts and consumers in Uzbekistan.

The findings revealed that the country has considerable potential to develop its halal tourism market due to its beautiful landscape, rich history and cultural heritage, which is supported by a full-fledged development policy. Uzbekistan's industrial sector exhibits substantial readiness to serve the Muslim market; however, the country lacks a specific policy for the development of the halal manufacturing export industry.

Our findings generate emergent themes that are relevant to the operations and future viability of halal industry of a Muslim country in a transitioning economy. These emerging themes further strengthened existing conceptualisation of the Viable System Model in terms of the elements of the environment and the function of policymaking in contributing toward a system's viability. Implications of the findings and suggestions for future research are also provided.

Industry 4.0 is recognised as a competitive strategy that helps implementers optimise their value chain. However, its adoption poses several challenges. This study investigates and ranks the drivers and barriers to implementing Industry 4.0 in the Thai sugar industry, the world's second-largest sugar exporter. It also evaluates the industry's readiness for Industry 4.0.

The drivers and impediments were identified based on a systematic literature review (SLR) and further investigated using a questionnaire, expert interviews, Pearson's correlation and nonparametric statistical analyses. The IMPULS model was used to assess the industry's readiness.

Most companies expect to minimise costs, develop employees and improve various elements of operational performance and data tracking capability. Thai sugar producers are still at a low readiness level to deploy Industry 4.0. High investment is the major challenge. Small businesses struggle to hire competent employees, collaborate with a highly credible technology provider and adapt to new solutions.

The findings can serve as a benchmark or guide for sugar manufacturers and companies in other sectors, where Industry 4.0 technologies are not yet widely utilised, to overcome existing roadblocks and make strategic decisions. They can also assist governments in developing policies that foster digital transformation and increase national competitiveness.

There is a scarcity of research on Industry 4.0 execution in the sugar industry. This study addresses this gap by investigating the reasons for the hesitancy of sugar producers to pursue Industry 4.0 and proposing solutions.

This study aims to focused on conducting a comprehensive assessment of the technology readiness level (TRL) of Iran’s oil field intelligence compared to other countries with similar oil reservoirs. The ultimate objective is to optimize oil extraction from this field by leveraging intelligent technology. Incorporating intelligent technology in oil fields can significantly simplify operations, especially in challenging-to-access areas and increase oil production, thereby generating higher income and profits for the field owner.

This study evaluates the level of maturity of present oil field technologies from the perspective of an intelligent oil field by using criteria for measuring the readiness of technologies. A questionnaire was designed and distributed to 18 competent oil industry professionals. Using weighted criteria, a mean estimate of oil field technical maturity was derived from the responses of respondents. Researchers evaluated the level of technological readiness for Brunei, Kuwait and Saudi Arabia’s oil fields using scientific studies.

None of the respondents believe that the intelligent oil field in Iran is highly developed and has a TRL 9 readiness level. The bulk of experts believed that intelligent technologies in the Iran oil industry have only reached TRL 2 and 1, or are merely in the transfer phase of fundamental and applied research. Clearly, Brunei, Kuwait and Saudi Arabia have the most developed oil fields in the world. In Iran, academics and executive and contracting firms in the field of intelligent oil fields are working to intelligently develop young oil fields.

This study explores the level of maturity of intelligent technology in one of Iran’s oil fields. It compares it to the level of maturity of intelligent technology in several other intelligent oil fields throughout the globe. Increasing intelligent oil fields TRL enables better reservoir management and causes more profit and oil recovery.

Recycling is associated with positive social and environmental impact, but previous studies have overlooked the cost of recycling operations. Based on the dynamic capability view, the purpose of this study was to identify and evaluate risk factors and resilience strategies within the recycling industry, prioritize these factors and identify the optimal combination of resilience strategies and risk factors to improve market performance.

The research questions were addressed in three subsequent studies. In Study 1, qualitative interviews were conducted to identify risk factors and strategies to mitigate those risks. In Study 2, quality function deployment methodologies were implemented via case studies derived from three different companies. Based on the results of Studies 1 and 2, in addition to the use of fuzzy set qualitative comparative analysis, Study 3 aimed to determine the optimal combination of risk factors and strategies impacting market performance.

The results across the three studies revealed a number of risk factors as well as which risk factors and resilience strategies have the greatest impact on market performance. Specifically, it was found that higher levels of readiness, response and recovery strategies lead to greater market performance, whereas weak readiness, response and recovery strategies, along with low societal, environmental and health and safety risk factors, significantly inhibit performance.

This research extends current understandings of market performance in relation to recycling industry management and offers insight for decision-makers toward combating significant risk factors in business-to-business settings.

The purpose of our study was two-fold: (1) to examine the effect of perceived value derived from perceived benefits and sacrifices in the adoption of artificial intelligence (AI) in talent acquisition and (2) to investigate the moderating role of human resource (HR) readiness in the association between perceived value and AI adoption intention.

A structured questionnaire was administered to 198 talent acquisition executives and HR professionals of Indian IT companies based on a purposive sampling technique. Partial least squares structural equation modeling (PLS-SEM) was used on the Smart PLS 2.0 platform to analyse the data and test the model.

Results revealed that perceived benefits and sacrifices significantly predict perceived value which significantly affects the HR professional’s AI adoption intention. The study further found that HR readiness moderates the link between perceived value and the intention of HR professionals to adopt AI in the talent acquisition process in the Indian IT industry.

IT companies are advised to continuously monitor and evaluate the performance of AI tools to ensure that they are meeting the recruitment process needs to leverage AI’s benefits in talent acquisition. This study seeks to provide the impetus for a planned AI adoption in talent acquisition.

This research provides ample evidence for the existing technology adoption theories. It explored the predictors of adoption by validating the value-based adoption model in the Indian context. It provides valuable insights into the practice of acquiring talents in the IT sector using artificial intelligence.

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.

Gamification is an emerging technique of applying game elements to difficult and tedious learning activities to make them fun and exciting. This study aims to review the scientific landscape of the library’s readiness to adopt gamification with context to application in teaching and learning purposes based on computational tools. The present research also aims to study the growth of literature on gamification, to identify the most contributing authors, countries, affiliations and journals and collaboration status with different geographical settings. The study will also identify the most influential paper on the area with the highest citation and Altmetric Attention Score (AAS) as well as analyzing the keywords for locating the research trend in the subject area.

The study has adopted Scientometric and Altmetric approach by considering the research outputs of a decade (2013–2022) from Scopus database. First, the required data has been searched using appropriate keywords forming the search strategy by running title–abstract–keywords considering the limitation in the system. The exported data is systematically visualized for performing science mapping like the collaboration of authors, countries, organizations and co-occurrence of keywords using VOSviewer. For finding the Altmetrics score and Mendeley readership of the influential research works, the system Dimension.ai is further used.

The study found 928 records indicating an exponential growth over the years with total 2,750 authors. Samuel Kai Wah Chu from the University of Hong Kong, China, is the most contributed author. Spain and the USA are highly productive countries, but there needs to be a strong collaboration pattern among authors. It is found that gamification is widely applied in education discipline than any other. Some of the libraries have already implemented gamification tools for learning purposes in their services. The research on gamification still lacks social media attention and needs to be promoted more through various social media platforms for greater visibility.

The study explores the global scientific literature to identify the library’s awareness of implementing gamification tools in their services for teaching and learning purposes. As per the author’s knowledge, no such study has been conducted until date with such aims and objectives through the application of both Scientometrics and Altmetrics approaches.