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The growth of interest in individual and organizational performance has elevated the importance of theories that explain their mutual relationships. The aim of this study is to thoroughly explore how different factors that boost performance, such as individual motivation and management systems, are connected to the results achieved by both individuals and the organization as a whole.

Data were collected from 409 employees across heterogenous companies. A structural equation model (SEM) was used to examine the relationships among the performance enable variables and output performance variables.

The results of the final model show (1) a strong relationship between individual and organizational performance, (2) a moderate relationship between an individual’s satisfaction with the task between internal motivation and individual performance, (3) a moderate relationship between organizational skills between internal motivation and organizational performance, (4) a relationship between adherence to the principles of management systems and organizational performance. It was also found that (5) the motivation of employees mediates the relationship between adherence to the principles of management systems and individual performance.

The limitation could be the choice of scales for individual factors, as some of them have not been validated in the past and have only been empirically examined in this study. Another limitation could be the geographical scope of the study, as the data were collected from only one country.

This research introduces a new approach to exploring the relationship between motivational factors, management systems and performance at both individual and organizational levels. Unlike previous studies that focused on isolated performance components, our research presents a comprehensive model integrating these factors into a unified framework. This model offers deeper insights into how the combination of internal motivations and management systems impacts performance in various contexts. The research fills a gap in the literature on the interactions between these key components and provides new empirical evidence on their influence in achieving performance goals.

This study aims to investigate the intention to use blockchain technology (BT) in the context of supply chain (SC) operations through an integrated technology adoption framework using two well-known models, the unified theory of acceptance and use of technology (UTAUT) and the technology acceptance model (TAM). Moreover, the study looked at the direct effect of TAM and UTAUT elements on attitude toward BT, as well as the role of attitude toward BT as a mediator between TAM and UTAUT elements and intention to use BT.

The study used a quantitative research method, and a structured questionnaire was used to gather primary data. The final sample, drawn using a convenience sampling that consisted of 273 managers from the Jordanian manufacturing sector. Structural equation modeling statistical method was conducted using the Smart PLS program to test hypotheses in the proposed study framework.

The study has provided intriguing results. It found that two UTAUT elements, namely performance expectancy and social influence and one TAM element, namely perceived usefulness, have a significant impact on the attitude toward BT. Besides that, the study found that attitude toward BT significantly mediated the relationship between UTAUT-TAM elements and intention to use BT. The findings revealed that three elements namely performance expectancy, social influence and perceived usefulness have statistical significance on intention to use BT through the mediation of attitude. Finally, there is a direct significant positive relationship between the attitude toward BT and intention to use it.

The study helps decision-makers, South Carolina practitioners and academics recognize the fundamental factors that increase manufacturing firms’ intentions to use blockchain in their SCs. This gives decision-makers a better understanding of why users accept or reject BT, as well as how to improve user acceptability through technological design. Future studies should seek for a bigger sample size and use random sampling techniques. Furthermore, the study should be replicated in other industries or developing countries to validate the findings.

There is a scarcity of studies identifying the factors that increase blockchain adoption intention in SCM and developing countries. This study differs in that it examines BT intention to use in the context of SC using an integrated technology adoption framework that uses two well-known models, UTAUT and TAM, whereas other studies typically use only one model/theory. Moreover, given the importance of attitude in behavior, this study also investigated the effect of TAM-UTAUT elements on attitude toward BT, as well as the role of attitude toward BT as a mediator between TAM and UTAUT elements and intention to use BT.

This study aims to examine how male and female students’ sustainability expectations of Higher Educational Institutions (HEIs) differ in various cultural contexts.

Based on a sample of 239 business students from the USA and Germany, a mixed qualitative-quantitative research design is employed combining content analysis and Kano analysis to examine gender- and country-different students’ sustainability expectations.

Female students across countries have higher sustainability expectations than males. Gender equality and inclusion are more important to female than male students. While male students considered most attributes as indifferent, female students in the US considered many sustainability attributes as one-dimensional, and those in Germany considered production and consumption and equity and inclusion as must-be attributes.

A larger, more representative sample could provide deeper insights into students’ sustainability expectations. The Kano model may not fully capture the complexity of these expectations due to its reliance on predefined definitions. More comprehensive and dynamic approaches are needed to understand and predict students’ sustainability expectations.

Grouping HEIs’ sustainability transformation attributes based on students’ basic, performance and excitement needs supports quality and expectation management at HEIs by prioritizing measures and aligning sustainability communication.

To the best of the authors’ knowledge, this study is the first to apply Kano analysis to examine and compare students’ future-oriented normative sustainability expectations of their HEIs across different gender groups and countries. It enables more profound and realistic insights into barriers and enablers of HEIs’ sustainability transformations and highlights how unmet expectations can impact stakeholder behavior across different country contexts.

This study aims to examine the impact of supply chain digitalization (SCD) on supply chain performance (SCP) with the integration of supply chain agility (SCA) and supply chain resilience (SCR) in manufacturing firms. Additionally, it investigates the moderating role of environmental dynamism (ED) in these relationships in the context of manufacturing firms.

A quantitative research design was employed, utilizing a structured questionnaire to collect data. The sample consisted of 374 valid responses from various managerial levels within manufacturing firms in Jordan. A purposive sampling technique was used to ensure that participants had relevant expertise in supply chain management. The data were analyzed using structural equation modeling (SEM) through Smart PLS software to test the proposed hypotheses.

The study found that SCD positively impacts SCP by enhancing both SCA and SCR. Digital technologies were shown to improve supply chain visibility, speed of decision-making and resource efficiency, which are essential for maintaining performance under uncertain conditions. Furthermore, ED significantly moderates the relationship between digitalization and SCP, indicating that the benefits of digitalization on SCA and SCR are more pronounced in highly dynamic environments.

This study contributes to the literature by offering an investigation on the role of SCD in influencing SCA, SCR and ultimately SCP in manufacturing firms. It also sheds light on the moderating effect of ED, providing a deeper understanding of the conditions under which digital transformation in supply chains is most beneficial. The study was based on three theoretical foundations: the resource-based view (RBV), the dynamic capabilities theory (DCT) and the contingency theory (CT).

This study examines the ethical challenges faced by Jordanian enterprises in implementing sustainable business models (SBMs) aligned with Sustainable Development Goal 12 (SDG 12) – Responsible Consumption and Production. It focuses on how economic constraints, cultural influences and sustainability awareness shape these challenges in an emerging market context.

A quantitative research approach was used, involving a survey of 496 business leaders across various sectors in Jordan. The data were analyzed using structural equation modeling (SEM) with SmartPLS to assess the relationships among economic constraints, cultural factors, sustainability awareness and ethical challenges in SBMs.

The findings indicate that significant ethical challenges arise from Jordan’s economic constraints, such as resource scarcity and limited access to finance, which complicate the alignment with SDG 12. Cultural values, particularly the emphasis on community and social cohesion, play a crucial role in ethical decision-making. However, the lack of sustainability education and awareness intensifies these challenges, especially among small and medium enterprises (SMEs).

The study highlights the need for policymakers to provide financial support and incentives to promote sustainable practices. Business leaders are encouraged to integrate cultural values into ethical decision-making and to invest in sustainability education to mitigate these challenges.

This research provides new insights into the ethical dimensions of SBMs in emerging markets, offering practical recommendations for enhancing sustainability in resource-constrained environments like Jordan.