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This study aims to explore whether seeking recommendations for doctors from offline word-of-mouth or online reviews influences patient satisfaction after treatment, and how the source of recommendation affects this effect.

Using a unique dataset of more than three million reviews from a popular Chinese online health community, this study used the coarsened exact matching method and built fixed-effect models to conduct empirical analysis.

The results suggest that selecting doctors according to recommendations can improve patient satisfaction and mitigate their dissatisfaction when encountering service failures. However, online recommendations were found to be less effective than offline sources in improving patient satisfaction.

This study provides important insights into patient satisfaction and doctor-patient relationships by revealing the antecedents of satisfaction and the potential for improving this relationship. It also contributes to the understanding of how recommendations in the healthcare context can improve patient satisfaction and alleviate the negative impact of service failures.

Effective management of highways requires management of diverse data sets including traffic volume data, roadway, and road edge and road-side data. Like all major infrastructure clients, highways administration authorities are under pressure to use such platforms for better management of data that, in addition to creating other opportunities, allows improved life cycle management of asset data and predictive analytics. This paper aims to review such opportunities and the value that can be generated through integrated life cycle data management by leveraging Big Data and building information modelling (BIM).

A literature review is initially performed to systematically gather information to identify and understand BIM as a collaborative platform. Data management applications in other industries are also reviewed. Interviews were conducted and two industry workshops were organised to understand BIM implementation challenges within highways development projects and the role BIM can play in bridging inefficiencies resulting from loss of information at handover phases. The overall understanding lead to drawing up user needs, gathering system requirements and eventually a system architecture design to promote efficient information management throughout the asset lifecycle.

It is observed that data from the design and construction phases of projects can be used to inform asset registers from an earlier stage. This information can be used to plan maintenance schedules. Moreover, it can also be integrated with data generated from numerous other sensors to develop a better picture of network operations and support key decision-making. Effective road network management involves collection and analysis of huge data from a variety of sources including sensors, mobiles, assets and Open Data. Recent growth in Big Data analytics and data integration technologies provides new opportunities to optimise operations of highways infrastructure.

The system architecture designed for this research is translated into a prototype system as a proof of concept. However, it needs to be tested and validated by end users to be transformed into a useful solution for the industry.

This paper provides an enhanced understanding of new opportunities created to optimise operations of highways infrastructure using the recent growth in Big Data analytics and data integration technologies.

This study aims to understand the dynamics underpinning the exit and re-entry strategies adopted by multinational enterprises (MNEs) in an emerging market, Pakistan.

This study undertook an in-depth historical case study of Yamaha Motorcycles, which had initially entered Pakistan as a joint venture but had then exited and re-entered as a wholly owned subsidiary.

This study found that, despite its status as a market leader and one of the older players in the Pakistani market, changing market dynamics in the 2000s – especially the increased competition brought by more affordable (inexpensive) Chinese motorcycles and the weak enforcement of industrial policies – had pushed Yamaha Motorcycles to exit. Another factor that had contributed to its exit were differences in risk perception and strategies with its local joint venture partner (a Pakistani business group). Hence, both firm-level and institutional factors had played significant roles in Yamaha’s market exit. This study further found that re-entering in a wholly owned subsidiary operation mode had been beneficial for the firm, as it gained a significant market share due to its focus on innovation and on capturing a market niche, which had earlier not been its main focus. The findings also suggest that opportunity logics and multiple forms of learning can be important for a firm’s re-entry into a host market – such as experiential (i.e. learning from experience) and vicarious learning (i.e. learning from other organizations, including suppliers and competitors) in an emerging market context, in which institutions evolve amid political and policy uncertainty. Finally, this study found that exit and re-entry timing is an important factor for the development of competitive advantage in a host market.

This study is among the few to have investigated the exit and re-entry strategies of MNEs in emerging markets. The relatively short time during which Yamaha Motorcycles had been out of the market had benefited it on its re-entry, as the firm had been able to capitalize on its prior learning and ties to suppliers’ networks.

This study aims to discover the general trends, the structural characteristics of the knowledge base, and developments in the field of internationalization of higher education (IHE) in Turkey. In this respect, the studies published in journals indexed by SSCI, SCI-Expanded, ESCI, and AHCI in Web of Science (WoS) between January 1, 1975, and November 20, 2021, were analyzed. The dataset included 260 articles. We administered descriptive analysis reflecting the topographical features and the dynamics of the related literature through Excel and the WoS analysis tools. We conducted bibliometric analyses to shed light on the current view of the literature and reveal the intellectual structure of the knowledge base and topical foci. The volume of the research in the field of IHE in Turkey and their yearly distribution suggests that this area of research is still in its infancy; however, there has been a rapid growth in the number of publications recently. Author co-citation analysis reveals four distinct schools of thought labeled as “Higher Education Policy Studies in EU,” “Global Socio-politics and Economics of IHE,” “Socio-cultural and Psychological Dimensions of Internationalization” and “Language Studies.” Finally, topical foci in the knowledge base emerged as “International Student Mobility,” “Psychological and Cultural Adaptation of International Students,” “Higher Education Policy Reforms,” “International Staff Mobility” and “Migration Related Issues.” The results are discussed with related review studies and suggestions for future research are provided.

The purpose of the paper is to investigate the critical success factors (CSFs) associated with the effectiveness of transfer and sharing of tacit knowledge in lean and agile construction processes.

The study identifies ten CSFs that initiate the transferring and sharing of tacit knowledge. The CSFs are validated through quantitative study. This study recruited project managers, executives, consultants and other managers that are directly involved in the management of a construction project. It recruits the respondents those have background and experience from disciplines such as lean construction, agile construction, construction supply chain (CSC) and knowledge management in lean, agile and CSC. The data collected through self-administrative questionnaire are categorised as ordinal data to analyse in SPSS with frequency and Kruskal–Wallis H test, Spearman’s correlation analysis and a rank-order analysis is done to establish the level of importance of those factors.

Initially, “Trust between construction organisations” is identified as the foremost CSF. Moreover, other CSFs such as motivation, leadership capabilities, business strategies and organisational capabilities follow trust.

This is the first study that investigates and establishes the CSFs that are essential to initiate transferring and sharing tacit knowledge in a lean and in an agile construction processes.

The purpose of this study is to describe precisely the wind speed regime and characteristics of a runway of an International Airport, the north-western part of Turkey.

Three different probability distributions, namely, Inverse Gaussian (IG), widely used two-parameter Weibull and Rayleigh distributions in the literature, are used to represent wind regime and characteristics of the runway. The parameters of each distribution are estimated by the pattern search (PS)-based heuristic algorithm. The results are compared with the other three methods-based numerical computation, including maximum-likelihood method, moment method (MoM) and power density method, respectively. To evaluate the fitting performance of the proposed method, several statistical goodness tests including the mostly used root mean square error (RMSE) and chi-squared (X²) are conducted.

In the light of the statistical goodness tests, the results of the IG-based PS attain better performance than the classical Weibull and Rayleigh functions. Both the RMSE and X² values achieved by the IG-based PS method lower than that of Weibull and Rayleigh distributions. It exhibits a better fitting performance with 0.0074 for RMSE and 0.58 × 10⁻⁴ for X² for probability density function (PDF) in 2012 and with RMSE of 0.0084 and X² of 0.74 × 10⁻⁴ for PDF in 2013. As regard the cumulative density function of the measured wind data, the best results are found to be Weibull-based PS with RMSE of 0.0175 and X² of 3.25 × 10⁻⁴ in 2012. However, Weibull-based MoM shows more excellent ability in 2013, with RMSE of 0.0166 and X² of 2.94 × 10⁻⁴. Consequently, it is considered that the results of this study confirm that IG-based PS with the lowest error value can a good choice to model more accurately and characterize the wind speed profile of the airport.

This paper presents a realistic point of view regarding the wind regime and characteristics of an airport. This study may cast the light on researchers, policymakers, policy analysts and airport designers intending to investigate the wind profile of a runway at the airport in the world and also provide a significant pathway on how to determine the wind distribution of the runway.

Instead of the well-known Weibull distribution for the representing of wind distribution in the literature, in this paper, IG distribution is used. Furthermore, the suitability of IG to represent the wind distribution is validated when compared with two-parameter Weibull and Rayleigh distributions. Besides, the performance and efficiency of PS have been evaluated by comparing it with other methods.

This study aims to use an authentic leadership style to explore that whether male or female leadership of private academic institutions highly influences affective organizational commitment and tacit knowledge sharing among the library teachers. Additionally, this study encompasses the trust of library teachers and justifies whether the trust under male or female leadership highly moderates the effect on tacit knowledge sharing.

By using structural equation modeling, this study tests two leadership models (e.g. male and female leadership models). Using a convenient sampling approach, the researcher collects data from library teachers of private academic institutions in district Sheikhupura, Pakistan through face-to-face interaction. The study administered 650 survey questionnaires among the library teachers; however, 403 questionnaires were answered validly and reliably. The response rate was 62%.

The study found the direct and indirect effect of authentic leadership on affective organizational commitment and tacit knowledge sharing however, male authentic leadership influence on affective organizational commitment and tacit knowledge sharing was quite higher than female authentic leadership. Resultantly, the library teachers were more committed to sharing tacit knowledge under male leadership than female. Nevertheless, the moderating role of trust was found in female leadership but not in male leadership. Simply, the library teachers under male leadership were hesitant to trust others, so the chain of sharing hidden ideas and image of libraries was not found in male leadership.

Private academic institutions need authentic leaders to shape the knowledge economy of libraries and the structure of the academic institutions. For this reason, this study provides practical implications for managers that male leadership should be hired in academic institutions because it has a higher influence on librarians’ commitment and tacit knowledge sharing among peers as compare to female leadership.

To the best of the authors’ knowledge, this was the first study that differentiates the capabilities and skills of male and female authentic leadership in private academic institutions. Further, it suggests hiring male leaders in these institutions.

The primary objective of this research is to conceptualize the integration of enterprise risk management (ERM) as a mechanism to enhance the connection between corporate sustainability (CS) reporting and financial performance. This study suggests that future researchers should validate the proposed conceptualization by conducting a comprehensive content analysis of sustainability reports of Malaysian oil and gas companies. This analysis will allow for the collection of pertinent data regarding CS reporting and ERM implementation. The present study takes a comprehensive approach by integrating legitimacy, stakeholder, and resource-based view (RBV) theories, proposing a robust conceptual design that emphasizes the role of ERM in the connection between CS reporting and firm performance. Drawing on theoretical foundations, this study proposes that CS reporting will have a direct effect on financial performance. Moreover, the integration of ERM serves to strengthen the nexus between CS reporting and financial performance. This study offers valuable insights for stakeholders in the oil and gas sector by providing strategic guidance to enhance financial performance not only through CS reporting but also by implementing ERM. Moreover, the framework proposed in this study is expected to bring tangible and intangible benefits to corporations, including reducing information asymmetry, improving the quality of disclosure, and creating value within the field of CS. The proposed conceptual framework holds great significance as it enhances the applicability of legitimacy, stakeholder, and RBV theories, while also creating value for stakeholders through CS reporting and the adoption of risk management practices to enhance financial performance.

The “problem” of selecting a contractor has attracted significant academic research endeavour over the last two decades. The principal aim here is to examine that research via published academic outputs for the period circa 1990‐2009.

A sample of published contractor selection (CSn) research is critically appraised. Aspects highlighted include: stated aims and research justification; methodological approaches employed; research tools used; and products of CSn research.

Main research foci are observed as: modelling the CSn process; studying selection criteria; and “interrogation” of existing CSn systems. Foci justifiers are linked mainly to the “importance” and “difficulties” of CSn decision making. Deterministic modelling of CSn is the favoured methodological approach, followed by documentary synthesis then questionnaire surveys. Preferred research tools are found to be system interrogation, rank order analysis and Likert scale/importance indices, with hypothesis testing and “other” methods used less so. Almost two‐thirds of research products are CSn models, with derived or proffered processes, and knowledge relating to CSn criteria, between them representing approximately the remaining third of output.

It is suggested that many of the CSn models exhibit as much complexity as the original “problem” they sought to resolve, while the reliability and longevity of suggested “cocktails” of CSn criteria (in practice), might be questioned. A call for future research products to more closely consider end‐user impact and potential for “take‐up” by industry is made. An empirical follow‐on study to assess (inter alia) practitioner use and “value” of CSn research is proposed.

The paper signals a possible need for greater industrial engagement in the research domain.

The findings are novel to this paper.