University of Wollongong in Dubai

Purpose This paper proposes an integrative framework for supply chain collaboration which is based on the reciprocal approach. Design/methodology/approach A reciprocal approach is adopted to capture the interaction phenomenon of different features of collaboration in attaining overall supply chain performance. Findings A collaborative supply chain framework is composed of five connecting features of collaboration, namely collaborative performance system, information sharing, decision synchronization, incentive alignment, and integrated supply chain processes. Research limitations/implications Further research could be carried out to capitalize the framework for diagnosing and improving supply chain collaboration. Practical implications The proposed framework enables the chain members to scrutinize key features of supply chain collaboration before and during collaborative initiatives. Originality/value Previous research on supply chain collaboration mainly assume the unilateral phenomenon of collaboration that focuses on a single feature such as information sharing or co‐managed inventory. The proposed framework for the first time explicitly addresses the interaction of different connecting features of collaboration.

Soft robotics is a rapidly evolving field where robots are fabricated using highly deformable materials and usually follow a bioinspired design. Their high dexterity and safety makes them ideal for applications such as gripping, locomotion, and biomedical devices, where the environment is highly dynamic and sensitive to physical interaction. Pneumatic actuation remains the dominant technology in soft robotics due to its low cost and mass, fast response time, and easy implementation. Given the significant number of publications in soft robotics over recent years, newcomers and even established researchers may have difficulty assessing the state of the art. To address this issue, this article summarizes the development of soft pneumatic actuators and robots up until the date of publication. The scope of this article includes the design, modeling, fabrication, actuation, characterization, sensing, control, and applications of soft robotic devices. In addition to a historical overview, there is a special emphasis on recent advances such as novel designs, differential simulators, analytical and numerical modeling methods, topology optimization, data-driven modeling and control methods, hardware control boards, and nonlinear estimation and control techniques. Finally, the capabilities and limitations of soft pneumatic actuators and robots are discussed and directions for future research are identified.

Purpose The purpose of this research is to investigate the implementation of green supply chain management (GSCM) practices and its impact on corporate performance (CP). The research in particular examines the results of implementing a set of GSCM practices on different dimensions of the CP. Design/methodology/approach This study, being the first of its kind in the Middle East, developed a research model to test the relationship between four main GSCM practices namely, eco-design, green purchasing, environmental cooperation and reverse logistics, and four dimensions of CP: operational performance, environmental performance, economic performance and social performance, while controlling three main variables (firm size, firm age and environment management system certification). Statistical analyses were based on the data collected, through survey questionnaires, from 117 firms in the manufacturing industry in the UAE. Reliability and validity of the research model were tested by the commonly accepted statistical tools. To test the hypotheses relating implementation of GSCM practice and CP, multiple regression analysis was used. Findings The finding of the study was that GSCM practices impact the CP dimensions differently. While none of the four GSCM practices were found to have any impact on the environmental performance, green purchasing and environmental cooperation were found to have a significant impact on the operational performance. The study found that only green purchasing plays a role in improving the economic performance, while only reverse logistics practices were found to impact the social performance of the firm positively. Research limitations/implications Research on GSCM is still in the nascent stage. Further refinement of the survey to differentiate between different manufacturing industries might be needed. Generalizability of the findings is also limited because of data collected from manufacturing firms in the UAE. This research provides important insights. The findings of this research are generally consistent with those of prior studies in other parts of the world. Firms in manufacturing industry in the UAE believe that GSCM practices help the company design and develop better products which, in turn, increase the company chances in selling its products in the international markets while, at same time, improving the average profit and market share. It was also found that the UAE firms believe that implementation of GSCM practices help improve the corporate image, enhance employees’ job satisfaction and improve employees’ health and safety. Practical implications Implementation of GSCM practices improves CP in different ways. Supply chain managers are required to decide on the CP dimension they want to improve and accordingly select the appropriate GSCM practices mix that leads to the desired level of improvement. Originality/value Although few earlier researches studied the impact of GSCM on CP, this study is different and makes a unique contribution by offering a holistic view of the impact of implementing four main GSCM practices on all dimensions of CP. The study offers some insights on the type of GSCM practices the firm needs to adopt to improve the targeted performance dimension.

Purpose Given that there exists in the literature relatively little research into student experiences in transnational higher education, the purpose of this paper is to identify the determinants of student satisfaction at international branch campuses in the United Arab Emirates (UAE). Design/methodology/approach This quantitative study involved 247 undergraduate and postgraduate students at branch campuses in the UAE who completed a questionnaire using either hard copies or an online version. Findings It was found that levels of student satisfaction at UAE branch campuses were generally high. The factors that were most influential in determining whether or not a student at a UAE branch campus was satisfied overall with their institution were quality of lecturers, quality and availability of resources, and effective use of technology. Research limitations/implications Given that cultures, customs, traditions and social contexts vary considerably in different locations, the findings of this study are not generalisable across all international branch campuses globally. Practical implications The findings indicate that there remains scope for UAE branch campuses to further increase levels of student satisfaction. Managers might use the findings to review their own institution's performance, so that areas for improvement can be identified. Originality/value Given that the logit model developed had an 87.4 per cent success rate in predicting whether or not a student at a UAE branch campus was satisfied overall with their institution, this research has demonstrated the potential usefulness of logistic regression as a predictive and explanatory tool in education management.

We study the effect of different acquirer types, defined by financial status and their payment methods, on their short and long‐term performance, in terms of abnormal returns using a variety of benchmark models. For a sample of 519 UK acquirers during 1983–95, we examine the abnormal return performance of acquirers based on their pre‐bid financial status as either glamour or value acquirers using both the price to earnings (PE) ratio and market to book value ratio (MTBV). Value acquirers outperform glamour acquirers in the three‐year post‐acquisition period. One interpretation is that glamour firms have overvalued equity and tend to exploit their status and use it more often than cash to finance their acquisitions. As we move from glamour to value acquirers, there is a greater use of cash. Our results are broadly consistent with those for the US reported by Rau and Vermaelen (1998). However, in contrast to their study, we find stronger support for the method of payment hypothesis than for extrapolation hypothesis. Cash acquirers generate higher returns than equity acquirers, irrespective of their glamour/ value status. Our conclusions, based on four benchmark models for abnormal returns, suggest that stock markets in both the US and the UK may share a similar proclivity for over‐extrapolation of past performance, at least in the bid period. They also tend to reassess acquirer performance in the post‐acquisition period and correct this overextrapolation. These results have implications for the behavioural aspects of capital markets in both countries.

Purpose Travel and tourism is the second largest global industry with daily international revenues of approximately US$2 billion, and investments of 12 percent of world GDP. Though this is a highly competitive industry, there is a paucity of academic research on destination branding. This paper aims to present a branding framework for designing successful destination strategies. This exploratory study seeks to determine key factors that affect the strategic branding of destinations. Design/methodology/approach Similar fields like place marketing, destination marketing, services, product and corporate branding were reviewed along with destination case studies. Based on this review and its extrapolation to the “destination context”, a framework for strategic branding of destinations was formulated. Findings Successful strategic branding of destinations is dependent on several inter‐related components, which are discussed. The paper highlights key issues in destination branding and provides a platform for future research. Originality/value The value of the paper is high as it provides a practical framework for governing bodies to consider when investing time, money and effort when creating a global destination.

The international branch campus has emerged as a prominent feature on the international higher education landscape. Although there exists a fairly substantial body of literature that has sought to identify the motivations or choice criteria used by international students to select countries and institutions, there has to date been little research on student motivations for studying at an international branch campus. This quantitative study, using the push-pull model of international student destination choice as its theoretical framework, involved 320 undergraduate and postgraduate students studying at branch campuses in the United Arab Emirates (UAE). It was found that the main motivations of students who choose to study at an international branch campus are different to those students who choose to study at home campuses. Thus, we propose a revised model of international student destination choice, which incorporates two distinct sets of push and pull factors—one that applies to the home campuses of Western universities and one that applies to international branch campuses. In addition to developing the theory on international student choice, our findings may be used by higher education institutions to better understand both their existing and potential students, with the view to applying segmentation techniques in their marketing activities.

The industrial sector is vital to economic progress, yet industrial pollution poses environmental and economic concerns. The purpose of the study was to investigate the influence of green industrial transformation in reducing Pakistan's carbon intensity between 1975 and 2020. Carbon emissions are considered an endogenous construct, while foreign direct investment (FDI) inflows, technological innovation, green industrial transformation, environmental legislation, and research and development (R&D) investment are possible mediators. The association between variables is assessed using the robust least-squares approach. Green industrial transformation is connected with lower carbon emissions, yet technical innovation, R&D investment, and inbound FDI raise a country's carbon emissions. The findings support the pollution haven hypothesis in a country. The causality estimates indicate that inward FDI contributes to environmental regulations; green industrial transformation directly relates to inbound FDI and R&D expenditures; and technological innovations correspond to inbound FDI, R&D expenditures, industrial ecofriendly progression, and environmental standards. According to the impulse response function, environmental policies are anticipated to have a differential effect on carbon emissions in 2023, 2024, 2028–2030, while they are likely to decrease in the years 2025–2027 and 2031 forward. Additionally, inward FDI and technology advancements would almost certainly result in a rise in carbon emissions over time. Green industrial transitions are projected to result in a ten-year reduction in carbon emissions. The variance decomposition analysis indicates that eco-friendly industrial adaptations would likely have the largest variance error shock on carbon emissions (11.747%), followed by inbound FDI, technological advancements, and regulatory changes, with R&D spending having a minimal impact over time. Pakistan's economy should foster a green industrial revolution to avoid pollution and increase environmental sustainability to meet its environmental goals.

Purpose Integrating the two‐system (reflective vs. impulsive) model and the “stimulus‐organism‐response” framework, the purpose of this paper is to construct and empirically test a model that examines online impulse buying as a phenomenon triggered by system design factors. Design/methodology/approach A laboratory experimental design with a 2×2 full factorial design involving 151 undergraduate students was used to validate the effects of system design stimuli on online impulse buying. Interactivity and vividness, two design factors, were manipulated and a fictitious VCD movie store was created, with four storefronts representing each combination of treatments. Findings A compelling and sociable virtual experience as conceptualized with telepresence and social presence has a significant effect on buying impulses over and above traditional marketing/product stimuli. Such virtual experience can be created through the usage of interactive and vivid website features. Furthermore, cognition positively moderates the relationship between buying impulse and the actual purchasing behavior. Practical implications The findings provide valuable guidance in website design that can stimulate online impulse buying. The results also indicate the importance of providing cognitive intervention at the purchasing stage. Originality/value A significant extension of the “stimulus‐organism‐response” framework is to introduce presence as the system stimulus that captures the overall virtual experience and to specify the associated design features; i.e. interactivity and vividness. By incorporating the two‐system model, this study offers a theoretical underpinning of the role of cognitive processing in impulse buying.

Total quality management (TQM) is a widely used management philosophy across many sectors. Organisations implement TQM in order to gain competitive advantage in terms of quality, productivity, customer satisfaction, and profitability. However, the literature seems inconclusive about the positive effect of TQM on organisational performance. The effect of national culture on TQM implementation is gaining importance; thus, several studies argue that the effect of TQM practices on organisational performance needs to be evaluated in different social, cultural, and economic settings. Furthermore, this study also contributes in the important debate in the operations management literature related to convergence versus divergence argument in TQM implementation. Therefore, this study provides empirical evidence from a developing country in South Asia. Data were collected from the member companies of All Pakistan Textile Mills Association by using a questionnaire. The questionnaires were sent to 210 textile companies and the respondents were quality or production managers. Structural equation modelling was used to investigate the effect of TQM practices on organisational performance. The findings of this study indicate that TQM has a highly positive effect on organisational performance. These findings support the divergence argument, which indicates that the positive effect of TQM on organisational performance is not limited only to companies located in developed nations, but can also be equally achieved in other parts of the world.

This article introduces algorithmic bias in machine learning (ML) based marketing models. Although the dramatic growth of algorithmic decision making continues to gain momentum in marketing, research in this stream is still inadequate despite the devastating, asymmetric and oppressive impacts of algorithmic bias on various customer groups. To fill this void, this study presents a framework identifying the sources of algorithmic bias in marketing, drawing on the microfoundations of dynamic capability. Using a systematic literature review and in-depth interviews of ML professionals, the findings of the study show three primary dimensions (i.e., design bias, contextual bias and application bias) and ten corresponding subdimensions (model, data, method, cultural, social, personal, product, price, place and promotion). Synthesizing diverse perspectives using both theories and practices, we propose a framework to build a dynamic algorithm management capability to tackle algorithmic bias in ML-based marketing decision making.

Purpose The purpose of this paper is to explore if control variables have any impact on corporate performance when implementing green supply chain management practices. The research in particular examines the impact of firm size, firm age and possession of environmental management system (EMS) certification as control variables on different dimensions of the corporate performance. Design/methodology/approach The research design consists of a comprehensive literature review, followed by an empirical questionnaire based survey with responses of 117 participant organizations proceeded by a comprehensive statistical analysis to validate the developed theoretical framework and contribute to both practical and methodological approach. This study investigates the impact of each of these three control variables on four dimensions of corporate performance using multiple regression analysis. Findings The research found that there is positive relationship between firm size and environmental performance, economic performance and social performance but not with operational performance. The study also found that a certified EMS within UAE firms is having a positive impact on all four performance dimensions while firm age does not have any relationship with any of the four performance outcomes. Research limitations/implications The research provides guidance for supply chain managers in the UAE and other similar emerging market in order to better understand the relationship between control variables, impact and performance, on corporate outcome. The paper also describes relevant strategies that should be taken into consideration by these managers in order to build their sustainable supply chain. The research contributes to social dimensions of supply chain sustainability on how resilient green strategies are important for supply chain stakeholders during uncertain conditions so that it can respond to uncertain changes in order to contribute to corporate social responsibility. Some of the limitations of this research include the geographic coverage of the study region and other methodological limitation. Originality/value This research is the first of its kind in the UAE region to assess the link between firm control variables and its impact on green supply chain management practices; which are less studied in the green supply chain literature. While there might be few other studies that addressed and uncovered the relationship between implementing green supply chain management practices and corporate performance, however, no study has attempted to find out if firm size, firm age and possession of EMS would have any impact on the green supply chain practices and corporate performance relationship. The research was conducted in an emerging economy to understand the relationship better. A series of recommendations are also provided for firms interested in improving their environmental performance while implementing green supply chain practices.

In the last two decades, developments in the area of biomineralization has yielded promising results making it a potentially environmentally friendly technique for a wide range of applications in engineering and wastewater/heavy metal remediation. Microbially Induced Carbonate Precipitation (MICP) has led to numerous patented applications ranging from novel strains and nutrient sources for the precipitation of biominerals. Studies are being constantly published to optimize the process to become a promising, cost effective, ecofriendly approach when compared with the existing traditional remediation technologies which are implemented to solve multiple contamination/pollution issues. Heavy metal pollution still poses a major threat towards compromising the ecosystem. The removal of heavy metals is of high importance due to their recalcitrance and persistence in the environment. In that perspective, this paper reviews the current and most significant discoveries and applications of MICP towards the conversion of heavy metals into heavy metal carbonates and removal of calcium from contaminated media such as polluted water. It is evident from the literature survey that although heavy metal carbonate research is very effective in removal, is still in its early stages but could serve as a solution if the microorganisms are stimulated directly in the heavy metal environment.

Based on a robust structured literature analysis, this paper highlights the key developments in the field of human resource management (HRM) in the Middle East. Utilizing the institutional perspective, the analysis contributes to the literature on HRM in the Middle East by focusing on four key themes. First, it highlights the topical need to analyze the context-specific nature of HRM in the region. Second, via the adoption of a systematic review, it highlights state of development in HRM in the research analysis set-up. Third, the analysis also helps to reveal the challenges facing the HRM function in the Middle East. Fourth, it presents an agenda for future research in the form of research directions. While doing the above, it revisits the notions of “universalistic” and “best practice” HRM (convergence) versus “best-fit” or context distinctive (divergence) and also alternate models/diffusion of HRM (crossvergence) in the Middle Eastern context. The analysis, based on the framework of cross-national HRM comparisons, helps to make both theoretical and practical implications.

Measurement is critical for assessing and monitoring food security. Yet, it is difficult to comprehend which food security dimensions, components, and levels the numerous available indicators reflect. We thus conducted a systematic literature review to analyse the scientific evidence on these indicators to comprehend the food security dimensions and components covered, intended purpose, level of analysis, data requirements, and recent developments and concepts applied in food security measurement. Data analysis of 78 articles shows that the household-level calorie adequacy indicator is the most frequently used (22%) as a sole measure of food security. The dietary diversity-based (44%) and experience-based (40%) indicators also find frequent use. The food utilisation (13%) and stability (18%) dimensions were seldom captured when measuring food security, and only three of the retrieved publications measured food security by considering all the four food security dimensions. The majority of the studies that applied calorie adequacy and dietary diversity-based indicators employed secondary data whereas most of the studies that applied experience-based indicators employed primary data, suggesting the convenience of collecting data for experience-based indicators than dietary-based indicators. We confirm that the estimation of complementary food security indicators consistently over time can help capture the different food security dimensions and components, and experience-based indicators are more suitable for rapid food security assessments. We suggest practitioners to integrate food consumption and anthropometry data in regular household living standard surveys for more comprehensive food security analysis. The results of this study can be used by food security stakeholders such as governments, practitioners and academics for briefs, teaching, as well as policy-related interventions and evaluations. Supplementary Information: The online version contains supplementary material available at 10.1186/s40066-023-00415-7.

Purpose The purpose of this paper is to investigate the key factors affecting the success of women entrepreneurs who own and manage Small and Medium Enterprises (SMEs) in UAE. The extant literature on the relationship between determinants of entrepreneurial success points to a lack of clarification of the link between success factors (Personal, environmental and other) and performance of women-owned SMEs particularly in UAE. Design/methodology/approach A self-administered questionnaire, through mail survey, is used to collect the data. Cronbach’s α test and factor analysis have been carried out to test the reliability of data and validate the hypothesis. Findings The results suggested that the personal, environmental factors and government support affect positively and significantly to the success of women-owned SMEs in UAE. Research limitations/implications The study has some limits as to its potential for generalization owing to the sample size, wide geographic spread of respondents and time limitations with the respondents. Practical implications The results indicate that several factors including personal, environmental and government support are linked with the success of women entrepreneurs of UAE. The results of this study will provide some insights to policymakers and business practitioners to formulate the strategies intended to promote unveiled potential among women entrepreneurs in UAE. Originality/value Most of the studies focused on women entrepreneurship have taken either their motives or the hurdles faced by them into consideration. Moreover, only a few studies have been carried out in Arab world particularly in UAE. Therefore, this study is an attempt to fill the gap and contribute to a better understanding of UAE’s women-owned SMEs.

Integrating social presence theory and social identity theory, this study brings system design and social influence aspects together to explain their joint effects on knowledge contribution in virtual communities (VCs). Different from most prior information systems (IS) research that adopts a uni-dimensional approach and restricts social presence to be the subjective nature of media, we developed and empirically tested a model explaining the effects of multi-dimensional social presence on social identification processes and knowledge contribution. An online survey was conducted with four different VCs of interest. The results showed the difference in relative contribution of social presence dimensions on social identity as well as knowledge contribution. Both practical and theoretical implications are discussed.

Various and independent studies are showing that an exponential increase of chronic diseases (CDs) is exhausting governmental and private healthcare systems to an extent that some countries allocate half of their budget to healthcare systems. To benefit from the IT development, e-health monitoring and prevention approaches revealed to be among top promising solutions. In fact, well-implemented monitoring and prevention schemes have reported a decent reduction of CDs risk and have narrowed their effects, on both patients' health conditions and on government budget spent on healthcare. In this paper, we propose a framework to collect patients' data in real time, perform appropriate nonintrusive monitoring, and propose medical and/or life style engagements, whenever needed and appropriate. The framework, which relies on service-oriented architecture (SOA) and the Cloud, allows a seamless integration of different technologies, applications, and services. It also integrates mobile technologies to smoothly collect and communicate vital data from a patient's wearable biosensors while considering the mobile devices' limited capabilities and power drainage in addition to intermittent network disconnections. Then, data are stored in the Cloud and made available via SOA to allow easy access by physicians, paramedics, or any other authorized entity. A case study has been developed to evaluate the usability of the framework, and the preliminary results that have been analyzed are showing very promising results.

The objective of this research study is to identify the constructs and factors important to the user-centric transformation of e-governments. The research design follows the comprehensive Unified Theory of Acceptance and Use of Technology model. The primary data for the research were collected from potential and current users of e-government services in the United Arab Emirates. Exploratory factor analysis was used to extract the important constructs from the 19 factors identified from the literature. Regression analysis was used to identify the influence of individual constructs on overall satisfaction, while correlation analysis was used to identify the relationship between Internet usage and user satisfaction. Analysis of variance and t-test were used to identify potential differences among demographic factors and their overall satisfaction with e-government services. This study identifies confidentiality and users’ trust and attitudes toward using technology as key determinants of overall satisfaction and the subsequent adoption of e-government services. The study also identifies significant differences in how different genders adopt the use of e-government services.

The purpose of this research is to investigate the effects of social and organizational identifications on student commitment, achievement and satisfaction in higher education. The sample comprised 437 students enrolled in an undergraduate or postgraduate programme in business or management. A model was developed and tested using structural equation modelling. It was found that organizational identification is a stronger predictor of student commitment, achievement and satisfaction than social identification. Although organizational identification was a strong predictor of student satisfaction, student commitment was better at explaining student achievement. The implications for higher education institutions are discussed. To the knowledge of the authors, this is the first study to examine the effects of organizational identification on student commitment, achievement and satisfaction. The key contribution of the research is in providing support for the hypothesis that organizational identification can influence the attitudes and behaviour of higher education students, as it has been shown to do with employees and consumers.