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Higher education and universities have faced unprecedented and ubiquitous changes. The University of Tehran or “UT,” as the leading university in Iran, is not immune to these changes. The purposes of this study is to investigate the current situation and future of the UT and gain insights and possible responses to changes that suit its strengths and potential to progress in an increasingly competitive, complex environment with uncertainties. It identifies deep fundamental underpinnings of the issue and highlights them for policymakers to formulate strategies and future vision of the UT.

Causal layered analysis (CLA) was applied as a framework and the data collected from different sources such as literature reviews, content analysis of rules, regulations and master plans of the university and coded interviews of four different groups of university stakeholders were analyzed. The current system of UT, as well as hidden beliefs, that maintains traditional perceptions about university was mapped. Next, by applying a new recursive process and reverse CLA order, new CLA layers extracted through an expert panel, the layers of CLA based on new metaphors to envision future of UT were backcasted.

The results from CLA layers including litany, system, worldview and metaphor about the current statue of UT show disinterest and inertia against changes, conservative, behind the times and traditional perceptions, and indicate that the UT system is mismatched to the needs of society and stakeholders in the future. The authors articulated alternative perspectives deconstructed from other worldviews so there are new narratives that reframe the issues at hand. The results show that to survive in this fast-paced revolution and competition in higher education, UT should develop scenarios and formulate new strategies.

The authors had limited access to a wide range of stakeholders. As the UT is a very big university with so many faculties and departments, to access a pool of experts and top policymakers who were so busy and did not have time to interview inside and outside of university was very hard for the research team. The authors also had limitation to access the internal enactments and decisions of the trustee board of the UT and the financial balance sheets of the university.

In this paper, by mixing different methods of futures studies, the authors have shown how to move forward while understanding the perspectives of stakeholders about the future of UT by a new recursive process and reverse CLA order. A supplementary phase was added to improve CLA and to validate the method and results, which were ignored in previous studies.

Catch-up is a process during which the countries that are behind the technological borders try to reduce their technological gaps. For a company or country in the catch-up process, a suitable level of technological capabilities and absorption capacity is necessary as a fixed advance requirement. This paper aims to develop a catch-up model of technology.

This study reviewed 90 published articles in the field of business management in Q1 and Q2 journals from the very beginning to the year of 2018 so that a framework can be presented for a catch-up. This framework has been obtained according to the process of grounded theory and by combining the previous studies.

Accordingly, a framework of six categories has been presented including causal factors, main category, background factors, intervening factors, strategies and consequences. Finally, three general approaches including independence, collaboration and cooperation, are introduced and each of these categories has been described in a spectrum of this approach.

This is the first study to conceptualize a catch-up model of technology by grounded theory.

The continual onset of natural and manmade disasters propels the humanitarian supply chain (HSC) efforts (by organizations, groups and individuals) to always be on a stand-by mode with more and more sustainable solutions. Despite all the sincere and coordinated efforts from all the humanitarian agents and bodies, the likely sustainable outputs are hampered by certain barriers (impediments) which exist at different levels of the HSCs. A better understanding of such barriers and their mutual relationship is deemed helpful in improving the outcomes of humanitarian efforts. Thus, the purpose of this paper is to explore, refine, establish and classify these barriers which thwart the sustainable efforts of the HSCs individually as well as collectively.

An extensive literature review is conducted to identify these barriers which were followed by soliciting the experts’ inputs to update, refine and retain the contextually relevant ones. The opinions about the nine identified and refined barriers are taken from eight experts based in the Northern India who are having at least five years of experience in humanitarian operations. Fuzzy interpretive structural modeling (FISM) is used to examine and establish a hierarchical relationship among these barriers, whereas fuzzy Matrice d’impacts croisés multiplication appliquée á un classment analysis is carried out to further classify these barriers into dependent, autonomous, linkage and dependent barriers.

The analysis led to the formation of a FISM model where the operational challenges affecting the performance occupy the topmost position in the hierarchy. The results reveal that inconsistent motives, coordination and communication and operational challenges affecting the performance are the dependent, poor strategic planning, capacity-related challenges and poor performance measurement system are the autonomous, and financial challenges, locational challenges and lack of proper awareness are the independent barriers.

The focus of the researchers was to study and examine these barriers to sustainable HSCs with special reference to the epidemics and pandemics (especially COVID-19), and it sheds light particularly arising during and post disaster phases.

The structural model contributed by this study is expected to be meaningful for practitioners besides enriching the body of literature. In the context of pandemics, it distinguishes itself from the other available frameworks.

As this research has been carried out in the context of the novel COVID-19, the framework is expected to assist policymakers in comprehending the issues impeding the sustainability of noble humanitarian efforts. Thus, ultimately it is expected to contribute to the ultimate cause of society at large.

This research endeavor distinguishes itself from the other accessible published resources in terms of the specific context, the methodological approach and the nature of respondents. This paper concludes with the practical implications and directions for future research.

This paper aims to study the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage.

The statistical population of the study was the managers and the specialists of some export companies of which 213 persons participated in this research. Path analysis was carried out to analyse and interpret the data by Amos software.

The results showed that business intelligence has a positive and significant impact on knowledge sharing, organisational innovation and gaining competitive advantage. Further, business intelligence has a positive and significant effect on competitive advantage through knowledge sharing and organisational innovation. Knowledge sharing impacts gaining competitive advantage positively and significantly. Finally, organisational innovation impacts gaining competitive advantage positively and significantly.

This research highlights the role of business intelligence, knowledge sharing and organisational innovation on gaining competitive advantage in export companies.

The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN).

The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia.

The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry.

The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market.

This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.

This study aims to identify the intentions of immigrant entrepreneurs to start new projects by investigating the role of influence of institutional support, social context, cultural intelligence, self-efficacy, optimizing personality traits and hierarchy legitimacy on intentions to start new ventures. In addition, the strength of the relationship for such factors and intentions to start new ventures was determined through the moderator role of easy access to venture capital.

To this end, this study complements the academic literature by integrating the structural equation modeling (SEM) and multiple-criteria decision-making (MCDM) techniques. Thus, the MCDM (i.e. analytic hierarchy process and vlsekriterijumska optimizcija i kaompromisno resenje [VIKOR]) is an effective approach to solving the problem of complexity and evaluation (i.e. multiple evaluation criteria, important criteria and data variation). Hence, to complete the strategic guideline solution, this study uses a survey for collecting data from 202 immigrants in Malaysia, Pakistan, Nigeria and Singapore.

The results from SEM prove several critical factors of immigrants’ entrepreneurs. These factors of immigrants’ entrepreneurs can be vital for academics and host countries. By focusing on these aspects and by developing some personality traits (such as self-efficacy and optimal personality traits), these factors can contribute a good deal to increasing the capabilities of immigrant’s entrepreneurs toward entrepreneurial intentions. In the validation, the statistical objective method indicates that the immigrants' prioritizations in all countries are supported by the systematic ranking. Thus, entrepreneurial intentions for immigrants can pursue the order proven by the VIKOR results.

This study has some significant practical and theoretical implications. Practically, the study findings will enable managers to develop strategies to support immigrants for entrepreneurial intentions to start new ventures.

The novelty of the context under given circumstances of global environment adds to the originality of this study. Several previous studies have also emphasized the need for this type of study in other contexts. The findings can call managers’ attention toward a critical issue of immigrants’ entrepreneurial intentions to start new ventures.

Supply chain practices play a major role in improving operational efficiency, enhancing resilience in industries and framing strategies for modern businesses. These practices are particularly crucial for the battery industry due to its complex supply chain network, stringent environmental compliance requirements and robust logistical operations required for effective distribution.

This study proposed 23 supply chain practices and investigated their relationship with the supply chain performance (SCP) of a selected battery industry. A structural equation modeling (SEM) approach is used to develop a structural measurement framework. Seven constructs and 23 latent variables are considered in this study. Hypotheses are formulated based on the conceptual framework, and the partial least squares-structural equation modeling (PLS-SEM) is employed to validate these hypotheses.

The results highlight significant interactions among supply chain integration (SCI), customer relationship management (CRM) and trust (TR), as well as their central roles in enhancing operational performance and other vital outcomes. CRM serves as the foundation for strong customer relationships and supports other operations. SCI acts as a central pillar; it ensures cohesive and efficient supply chain processes. TR functions as a catalyst, facilitating smoother interactions and cooperation among supply chain partners.

The study equips battery consultants and managers with insights to refine processes efficiently, allocate resources effectively and establish strategic partnerships. Furthermore, it proposes a systematic framework to enhance the battery industry’s performance.

This study comprehensively evaluates the battery industry’s SCP through novel supply chain practices. It uniquely integrates supply chain metrics into the performance evaluation framework. Furthermore, this research proposes 23 novel supply chain practices tailored to the battery industry.

Cold supply chain technology is critical for extending the shelf life of perishable leafy green vegetables. This study aims to investigate the concept of managing leafy green products using cold supply chain technology and visualise the findings.

Using expert interviews and data visualisation approaches, this study examines how organisations deal with the complexity of cold supply chain processes and networks. Thematic data analysis was conducted. Two types of software were used to accomplish the research objectives. The first software used AntConc version 3.5.8 with word frequency (N-gram) analysis, whereas the second software, VOSViewer offered co-occurrence network visualisation and cluster analysis.

The findings show that the appropriate design of cold chain technology is critical in ensuring the freshness and quality of leafy green vegetables. The primary goal of managing the complexity of the cold supply chain is to achieve product freshness and energy efficiency. Regardless of the importance of energy efficiency, cold supply chains require warehouse management solutions for transportation and storage.

This study found that proper design and selection of appropriate technology in the cold supply chain have driven the companies to improve the firms’ competitive advantage while delivering the best quality of perishable leafy green food products. In addition, the freshness, quality, safety, and health of leafy green vegetables will be determined by the company’s capacity to handle long-distance transportation and select the appropriate distribution channels and storage. Warehouse management system technology was found to be secondary compared to cold chain technology, although distribution and warehousing practices are critical for supply chain performance.

This study has established the conceptual indicators based on best practices and outcomes for the cold supply chain. This study argued that cold supply chain management and performance should be monitored independently. Furthermore, the theory of technological adoption can be expanded to include product nature as a driver. Finally, this study has established cold chain best practices based on a perishable supply chain perspective. The findings of this study can promote healthy foods to solve zero hunger and achieve sustainable development goals. Although this study demonstrates that technology improves supply chain practises, cold storage and logistics benefit the most from technological advancements. In contrast, non-cold supply chains benefit from technology-driven improvements in performance.

The construction industry is facing an enormous number of challenges due to continuous advancements in construction technologies and techniques. Hence, construction management theories have to confront critical newly issues concerning market globalization and construction innovations. The key factor to address these challenges is to ameliorate the competitive abilities of the competing construction firms. In this context, measuring competitiveness of construction firms is an efficacious approach to amplify their competitive growth and profitability. To this end, the purpose of this research paper is to design a three-tier multi-criteria decision making model for competitiveness assessment and benchmarking of construction companies, meanwhile tackling a wide range of essential factors and attributes that covers broad aspects of the present competitive market.

In the first tier, four new pillars (4P) of competitiveness assessment are introduced for construction firms, namely, organization performance, project performance, environment and client and innovation and development. These pillars are able to aid in construction firms’ management on both long and short term basis. Hence, 21 key competitive factors and eighty key competitive criteria are identified, incorporated and analyzed in this research study. The second tier encapsulates carrying out a questionnaire survey in the Canadian and Vietnamese market to garner two main sets of information. The first set of information incorporates responses of the pairwise comparisons between competitiveness factors and criteria. The second set involves gathering utility scores pertinent to each competitiveness criteria. The developed model then leverages the use of analytical hierarchy process to scrutinize the relative importance priorities of competitiveness factors and criteria. The third tier of the developed model encompasses the use of multi-attribute utility theory to compute competitiveness scores for construction companies through blending criteria’ relative importance weights alongside their respective utility functions. In addition, the third tier comprises conducting a sensitivity analysis to derive the most important criteria influencing the overall competitiveness of construction companies. The developed model is tested and validated using three case studies; one construction company from Canada and two construction companies from Vietnam.

Results demonstrated that the developed model has a potential to render a synthesized and methodical performance evaluation for the competitive ability of a given construction company. Furthermore, it was found that Vietnamese companies are more considerate towards pillars pertaining to environment and client while Canadian companies are more attentive towards innovation and development. The outcome of sensitivity analysis revealed that effectiveness of cost management highly affects the competitive ability of Vietnamese companies while effectiveness of cost management exhibits the most significant influence on the competitive of Canadian companies.

The developed model can benefit construction companies to understand their competitiveness in their market and diagnose their strengths and weaknesses. It is also can be useful in efficient utilization of their limited resources and development of sustainable and long-term strategic plans strategic plans, which consequently leads to maintaining better position in their dynamic business markets.

Literature review manifests that reported competitiveness assessment models and practices are not able to address present challenges, technologies and developments in construction market.