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Oman commitment for Sustainable Development Goals 2030 pushes green building at the forefront of construction industry. However, its green building progress is slower than other Gulf Cooperation Council countries, and only a handful of local contractors have been involved in green project development. Understanding the barriers to green project delivery will open avenues for better project planning and preparation. This research aims to identify the barriers experienced by the contractors when constructing green buildings in Oman.

Qualitative research, via a semi-structured interview process, explores the barriers experienced by 14 contractors when constructing Leadership in Energy and Environmental Design (LEED) green building projects in Oman. Using NVivo 12 software, thematic analysis was conducted through the generation of coding and themes which enable the identification of the relevant barriers.

The research uncovered 10 barriers and grouped them into five categories. The five categories are as follows: (1) insufficient skills development, (2) lack of government support and regulatory adjustment, (3) limitation in materials procurement, (4) documentation and coordination limitation and (5) difficulty in green rating compliance.

The research identified 10 barriers of constructing green buildings in Oman. These barriers gravitated on 4 issues: knowledge and competency, green rating requirements, government involvement and materials procurement. It streamlined clusters of the potential research area for more effective green building action plans in the future. Two barriers are deemed uniquely applied to Oman, namely “lack of needed regulatory adjustment” and “absence of local rating tools”. This insight can serve as a valuable steppingstone to push more green buildings for the country.

Small and medium enterprises (SMEs) significantly contribute to economic growth, development, exports and employment of the nations. To maintain competitiveness in today's market, SMEs must explore and identify enablers to enhance their digital transformation process. This paper aims to shed light on some essential enablers SMEs can use to implement digital resilience successfully.

The quantitative assessment and validation of the enablers have been done using powerful and novel techniques, namely, the Delphi method, “fuzzy interpretive structural modelling” (F-ISM) method and “cross-impact matrix multiplication applied to classification (MICMAC)” analysis. The F-ISM model is developed using the information drawn from digital transformation experts and practitioners involved in the digital transformation process for SMEs. Furthermore, the F-ISM model provides four paths to complete the pathway to digital resilience.

The F-ISM and MICMAC analysis revealed four ways to enhance the digital transformation process in SMEs. These enterprises can utilise these path assessments to become digitally resilient in the present dynamic scenario. To enhance digital resilience among SMEs, the study identified ten enablers. Among these, “management competencies” was the most crucial, followed by “knowledge management” and “monitoring and controlling”.

The present study is limited in that the data used to develop the models were collected from a small group of industry experts whose opinions may not exhibit the comprehensive views of the population.

The findings can help SMEs enhance the digital transformation process by taking up different pathways to integrate the various enablers of digital resilience depending on resource availability.

The results indicate the most critical and influential enablers for enhancing digital resilience among SMEs. This research can be valuable to academicians, industry practitioners and researchers for guiding their future work.

This study aims to assess the effect of entrepreneurial orientation on supply chain performance both directly and indirectly through entrepreneurial competence, as well as the moderating role of local community networking in these relationships, within the context of institutional voids in Ghana.

The study utilized a cross-sectional survey data from 225 small and medium sized enterprises (SMEs) in order to test the hypotheses. The data analysis was conducted using partial least squares structural equation modelling techniques.

The results revealed that entrepreneurial orientation is a significant positive predictor of both entrepreneurial competence and supply chain performance. Similarly, entrepreneurial competence was shown to positively predict supply chain performance, both directly and as a mediator between entrepreneurial orientation and supply chain performance. Local community networking, however, positively moderated the relationship between entrepreneurial orientation and entrepreneurial competence but not the relationship between entrepreneurial orientation and supply chain performance.

This study contributes to literature by looking at the relationship between entrepreneurial orientation, entrepreneurial competence, local community networking and supply chain performance within the context of an emerging economy with institutional voids. The study shows the importance of an entrepreneurial mindset in developing the necessary skills, competences and abilities needed to survive in the turbulent business environment.

We develop a credit-risk model to study the informational role of investment in an economy susceptible to large liquidity shocks. Firms' investment decisions carry information about their asset quality, thereby mitigating informational frictions when firms enter bankruptcy. An increase in aggregate investment can reduce the informational value of investment, depressing firms' recovery values. Therefore, policies boosting investment can decrease debt and firm values by reducing the informational value of investment. The presence of debt overhang may enhance firm value by making firms' investment decisions more informative. We present suggestive empirical evidence consistent with model predictions on the relation between firms' investments and recovery rates.

The digital evolution of production and logistics systems requires seamless integration of various functions. Cyber-physical systems (CPS) can streamline operations, reduce costs and optimise freight transport dynamics. Therefore, CPS adoption is essential to transform existing logistics infrastructure by connecting logistical equipment to cyberspace. This research addresses the critical issue of low CPS adoption in logistics. By analysing the barriers, the study proposes effective strategies to increase CPS integration significantly.

This study used the technology-organisation-environment (TOE) framework and identified 18 barriers to CPS adoption in freight logistics. The barriers were then analysed using the fuzzy data-driven multi-criteria decision-making (MCDM) method, i.e. fuzzy-based decision-making trial and evaluation laboratory (Fuzzy-DEMATEL).

The computational analysis of the proposed framework shows that “the complexity of CPS and lagged data-driven logistics infrastructure” (T₁) is a major technological inhibitor to CPS adoption. The “high cost of CPS technology” (O₈) and a “lack of top management support” (O₃) are the top causal inhibitors at the organisational level. “Lack of data governance and regulatory framework” (E₂) is the main environmental inhibitor.

The causal mapping of the TOE-based barriers helps policymakers and logisticians to develop strategies or follow recommended adoption strategies to improve CPS adoption in logistics.

This study is a pioneering effort to unveil the adoption barriers of CPS in the freight logistics industry and suggest strategies for fostering adoption. This research could provide valuable insights for logistics organisations to support CPS-driven logistics modernisation.