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The purpose of this study is to examine the portfolio of knowledge transfer (KT) activities in 162 UK higher education institutions. In doing so, this study creates an index and ranking, but more importantly, it identifies specific groupings or strategic profiles of universities defined by different combinations and strengths of the individual KT activities from which the overall rankings are derived. Previous research, concentrating on entrepreneurial universities, shows that individual knowledge transfer (KT) activities vary substantially among UK universities. The broad portfolio of universities' KT activities, however, remains underexplored, creating gaps in terms of the relative strength, range, focus and combination of these activities, and the degree to which there are distinct university strategic KT profiles. By examining KT activities and grouping universities into KT “types”, this research allows universities and policymakers to better develop and measure clearer KT-strategies.

The present study applied the Preference Ranking Organization Method for the Enrichment of Evaluations (PROMETHEE) to rank universities based on their portfolio of KT activities. It utilised data from the 2015–2016 Higher Education Business and Community Interaction Survey dataset.

Findings show that universities differ substantially in their portfolios of KT activities. By using PROMETHEE, a new ranking of universities is generated, based on their KT portfolio. This paper also identifies four distinct types or groups of universities based on the diversity and intensity of their KT activities: Ambidextrous, broad, focused and indifferent.

The study contributes to the entrepreneurship literature, and more specifically entrepreneurial activities of universities through new knowledge generated concerning university KT activity. The research extends the existing literature on university archetypes (including those concerned with the Entrepreneurial University) and rankings using a new technique that allows for more detailed analysis of the range of university KT activities. By applying the PROMETHEE approach, results illustrate a more nuanced definition of university KT activities than before, by simultaneously evaluating their overall strength, range, focus and combination, allowing us to identify the universities' strategic profiles based on their KT portfolios. Implications of the findings for key stakeholders include a potential need for government higher education policymakers to take into account the different mixes of university archetypes in a region when considering how best to support higher education and its role in direct and indirect entrepreneurship promotion through regional policy goals.

This study aims to investigate the causal relationships within an experimental culture of improvisation capability and firm performance, following the logic of “culture-capability-performance” and building on informal institution theory and dynamic capability theory.

Data was mainly collected via on-site questionnaires from firm managers, and 196 valid questionnaires were analyzed using structural equation modeling to test the relationship among experimental culture, improvisation capability and firms’ performance.

Trust and support had a positive impact on firm spontaneity, while the effect of action promotion and error tolerance was not significant. Action promotion, trust and support demonstrate substantial positive effects on the creativity of a firm. Both dimensions of improvisation capability positively and significantly influence a firm’s performance.

The research respondents were firm managers. Cross-sectional data were used to analyze the model, which may cause common method variance. The research context was limited to China, and the generalizability of the results needs to be considered.

Firms can cultivate a culture of trust and support to enhance their spontaneity and improvisation capability. They can encourage cross-departmental communication, empower employees with autonomy in decision-making, provide appropriate resource support for employees’ decisions and use praise and reward incentives to spur further innovation achievements.

This study addresses the gaps in a firm’s improvisation capability within a Chinese market context by theoretically and empirically examining the role of experimental culture and assessing the relationship among each of the dimensions of improvisation capability in relation to firm performance identified in this study.

Regular surveys by the Malta Hotels & Restaurants Association indicate a substantial improvement in the financial performance of five-star hotels in Malta in recent years. Therefore, the purpose of this paper is to investigate if this positive performance is primarily due to customer centricity by management.

The assessment is based on the findings of a quantitative study that compared the results of a demand side (customer survey) with those of a supply side (management survey). In total, 24 decision-choice criteria were framed within the four perspectives (financial, customer, internal process and employee learning/growth) of the balanced scorecard. Actual and potential customers of five-star hotels and hotel managers were asked to rank the decision-choice criteria and the balanced scorecard perspectives. The multi-criteria decision analysis was carried out by means of the AHP.

The study showed that managers in the five-star hospitality sector in Malta are in harmony with customer expectations given the strong positive correlation between the results of the customer and management surveys.

This research is limited to the island of Malta but can be easily replicated for other touristic destinations.

This study has implication for hospitality customers, hotel managers and policy makers to help them to identify weak areas of hotel performance and improve them.

The paper has developed a Prioritised scorecard, a new hybrid balanced scorecard and AHP. Targets are therefore prioritised, which allow a better allocation of scarce resources.

This study examines the relationship between the flexibility of working from anywhere and employees' psychological well-being (PWB) and safety. This study also investigates the moderating role of human resource (HR) leadership teams on HR policy (HRP), firm infrastructure (FRI) and remote work flexibility.

With the help of the literature review and flexible firm theory (FFT) and dynamic capability view (DCV) theory, a model has been developed conceptually. Later, the conceptual model is validated using partial least squares – structural equation modelling technique considering 471 useable respondents from different Asian and European firms to understand cross-country implications. This research study uses convenience and purposeful sampling techniques.

This study shows that there is a significant and positive moderating role of HR leadership support (HLS) towards developing flexible HRP and appropriate FRI to enable employees to work from anywhere. The results also indicate that there is a significant and positive impact of work from anywhere flexibility (WAF) and employee PWB and psychological safety (PSS), which in turn positively and significantly impact employee satisfaction (EMS) resulting in better firm performance (FP).

This study provides valuable input to HR management teams for developing effective HR policies to enable a work from anywhere option. The study also provides food for thought to practitioners, researchers and academicians regarding the need for more research on the relationship between work flexibility, PWB and FP. Finally, this study develops a unique model which could be used by any firm towards framing an effective HRP enabling WAF.

This research adds value to the overall body of knowledge of HR management. There is no study which investigated the impact of WAF on employee PWB and PSS. Thus, this study is considered a unique study. Moreover, the proposed model in this research study is also a unique model with explanative power of 71%.

Business schools play a significant role in providing individuals with the ability to adapt to constantly changing environments. Such agile organizations require deans who, as leaders, possess the knowledge and attributes of astute and responsible executives. In this regard, the measurement of the attributes of leadership paves the way for evaluating a leader’s options process. In this study, we measure the attributes of leadership to pave the way for evaluating a leader’s decision-making process.

The rich data included the opinions of 93 university professors from seven countries: Iran, India, China, France, the UK, Canada and the USA. In appraising the responses, the authors considered the nationality and the development level of each participant’s country and continent. In this study, the authors developed an online questionnaire based on the best-worst method (BWM). By performing a one-way analysis of variance (ANOVA), the authors also determined the significant statistical differences of the scientific communities through the lenses of authentic leadership, leader-member exchange and social identity and leadership.

The results provide evidence of transparency, measured as the most important criterion for leading a business school, i.e. knowledgeable deanship. Furthermore, the findings reveal a meaningful difference between developed and developing countries in the context of an authentic leadership pillar.

This paper contributed to the literature in five major ways as follows: The authors investigated the attitudes of scientific communities from different countries, business schools, BWM, dean selection and leadership evaluation.By means of the BWM, the authors measured the criteria culminating in the selection of a knowledgeable leader for a business school.The authors compared and contrasted the attitudes of scientific communities in developing countries vis-à-vis those in developed ones.The authors addressed the differences and similarities among countries in relation to the selection of a knowledgeable business school leader.The authors provided beneficial insights by addressing the different perspectives of researchers on the weights of the criteria involved in the selection procedure for a business school dean.

This study investigates a production process that requires N kinds of components for the production of a finished product. The producer orders the various kinds of components from different suppliers and receives the orders in lots at the beginning of each production cycle. Similar to situations often encountered in real life, the lead times are random variables with known probability distributions so that a production cycle starts whenever all N kinds of components become available. Each of the lots received at the start of a production run contains both perfect and imperfect quality components. Once all N kinds of components become available, the producer initiates a screening process to detect the imperfect components. The production of the finished product uses only perfect quality components. The imperfect components are removed from inventory whenever the screening process is completed. The percentage of components of perfect quality present in each lot is a random variable with a known probability distribution.

This production process is described and modeled mathematically and the optimal production/ordering policy is derived based on the mathematical model.

The formulated mathematical model resulted in the determination of the optimal policy consisting of the optimal number of finished items ordered to be produce during each production run, the number of components ordered from each supplier, and the reorder point. The derived closed form expression for the optimal lot size depends on the minimum of the number of perfect quality components in a lot, whereas the reorder point is determined based on the maximum lead time.

The modeling approach and results of this study provide practical implications that may be beneficial to both production and supply chain managers as well as researchers.

This modeling approach that incorporates decision-making related to the logistics of acquiring the components and accounts for the probabilistic nature of the lead times and quality of components addresses a gap in the logistics/production literature.

Prior research shows that universities differ in the knowledge exchange (KE) activities they pursue, but little is known about universities’ strategies regarding their portfolio of KE activities. The purpose of this paper is to explore the KE strategy of UK universities in specific relation to their portfolio of KE activities with small- and medium-sized enterprises.

Based on the 2015–2016 Higher Education Business and Community Interaction Survey data set, this study employs the Preference Ranking Organisation METHod for the Enrichment of Evaluations to assess the KE activities from 162 UK higher education institutions.

The study reveals that entrepreneurial universities valorise university knowledge assets through five SME-focussed KE activities most beneficial to measuring the entrepreneurial university. It also uncovers four different archetypal categories (groupings) of universities based on their strategic focus of KE activities.

This study contributes to the entrepreneurial university literature by considering universities’ overall KE portfolio rather than examining individual KE activity in isolation. It provides a clearer understanding of universities’ KE strategies that help define and delineate entrepreneurial universities regarding their range, focus and the combination of KE activities.

Facility location and re-location decisions are critical managerial decisions in modern supply chains. Such decisions are difficult in this environment as managers encounter uncertainty and risks. The study investigates establishing or moving distribution facilities in the global supply chain by considering costs, fulfilment, trade uncertainties, risks under environmental trade-offs and disruptive technologies.

This paper combines the possibilities and probabilistic scenarios for a supply chain network by proposing the novel Robust Optimisation and Mixed Integer Linear Programming (ROMILP) method developed under the potential uncertainty of demand while considering the costs associated with a four-tier supply chain network. ROMILP has been solved in a real-time logistics environment by applying a case study approach.

The solution is obtained using an exact solution approach and provides optimality in all tested market scenarios along the proposed global logistics corridor. A sensitivity analysis examines potential facility location scenarios in a global supply chain context.

Logistics managers can apply the ROMILP model to test the cost-benefit trade-offs against their facility location and relocation decisions while operating under uncertainty. Future research is proposed to extend the literature by applying data from the OBOR logistics corridor.

This study is the first to examine sustainable dimensions along the global logistics corridor and investigate the global container traffic perspective. The study also adds value to the Middle East logistics corridor regarding facility location decisions.

The new coronavirus is a highly infectious disease with mutating variants leading to pervasive risk around geographies and public health system. The economy has been suffering due to the strategic lockdown adopted by the local administrative bodies, and in most of the countries, it is further leading to a major wave of unemployment with millions of job and business losses affecting the hotels, travel and tourism industry widely. To attain a sustainable business in the post-pandemic situations, the industry now must think of information system approaches to convince tourists to feel safe with the most hygienic hospitality and services to be offered in any property. The key aspect of the study is to provide the impact of new-age AI-driven technology solutions that will dominate the future direction of the modernized hospitality industry promising robust health-safety measures in a hotel, and further help create sustainable business and leisure travel facilities to cope with post-epidemic scenarios.

The study emphasizes to provide a robust technology-oriented framework based on a mixed research method that would help hotels to adopt and implement new-age AI-driven solution within the hotel premise to serve customers with at most hygiene, contactless service and thereafter, aiming for faster recovery of businesses and regaining customer trust to fuel booking intent in the post-epidemic scenario.

The paper provides a technology-focused solution that would impact hotel industries' post-pandemic scenario. The study contributes to helping boost the tourism industry using information management solutions such as biosensors, robotic room services and contactless hosting. The findings show the adoption of robots/RPA solutions and Biosensors by the industry will be a disruptive paradigm shift.

The study expands the scope of research in information technology and management with a focus on the hospitality industry while contributing to new factors impacting customer buying behavior in the industry.