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In today’s intense global competition, agility is advocated as a fundamental characteristic for business survival and competitiveness. The purpose of this paper is to propose a practical methodology to achieve and enhance organizational agility based on strategic objectives.

In the first step, a set of key performance indicators (KPIs) of the organization being studied are recognized and classified under the perspectives of balanced scorecard (BSC). Critical success factors are then identified by ranking the KPIs according to their importance in achieving organizational strategic objectives using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). In the second step, three houses of quality (HOQs) are constructed sequentially to identify and rank the main agile attributes, agile enablers, and improvement paths. In addition, in order to translate linguistics judgments of practitioners into numerical values in building HOQs, fuzzy logic is employed.

The capability of the proposed methodology is demonstrated by applying it to a case of a multi-national food company in Iran. Through the application, the company could find the most suitable improvement paths to improve its organizational agility.

A limited number of KPIs were chosen due to computational and visual constraints related to HOQs. Another limitation, similar to other agility studies, which facilitate decision making among agility metrics, was that the metrics were more industry-specific and less inclusive.

A strong practical advantage for the application of the methodology over directly choosing agility metrics without linking them is that through the methodology, the right metrics were selected that match organization’s core values and marketing objectives. While metrics may ostensibly seem unrelated or inappropriate, they actually contributed to the right areas where there were gaps between the current and desired level of agility. It would otherwise be impossible to choose the right metrics without a structured methodology.

This paper proposes a novel methodology for achieving organizational agility. By utilizing and linking several tools such as BSC, fuzzy TOPSIS, and quality function deployment (QFD), the proposed approach enables organizations to identify the most appropriate agile attributes, agile enablers, and subsequently agile improvement paths.

The purpose is to use co-citation analysis of servant leadership (SL) research to investigate the evolution of the field, its subfields, gaps and opportunities for future research in a systematic manner.

A document co-citation technique and three clustering algorithms (latent semantic index (LSI), the log-likelihood ratio (LLR) and the mutual information (MI) index) were employed to analyse 24,030 references from 549 articles spanning a period of 50 years.

Cluster analyses reveal that SL research consists of eight distinct subfields: (1) conceptualisation and measurement of SL; (2) SL and related theories; (3) methodological foundations and empirical expansion of SL research; (4) individual-level cognitive effects of SL and related theories; (5) “Warmth effects” of leadership behaviour; (6) antecedents of effective leadership; (7) SL, marketing, sales management and ethics and (8) SL, job design and work engagement. Important gaps and opportunities for future research are identified.

The analyses do not show a complete picture of research on SL. Interesting works used by subgroups of SL researchers may not have enough citations to be included in the results. Moreover, bibliometric analyses do not explain the impact of books, journals and articles on the practice of SL. The authors welcome future analyses of the most influential sources of SL practice. The authors expect that managerial and practice-oriented books and journals, such as the International Journal of Servant Leadership and the Servant Leadership Theory and Practice, would play a central role in such analyses.

The discussions of the nature of SL, its effects and antecedents are useful to leaders who want to develop a SL style or assist others in developing it. For researchers and doctoral students, the cluster analyses of co-citations give an overview of the subfields of SL research and reveal important knowledge gaps in the literature.

SL has several favourable effects on the motivation and psychological well-being of followers. Also, followers tend to adopt a willingness to serve.

Previous research has categorised SL research into three broad categories or phases. The cluster analyses of the co-citations reported here reveal a meaningful structure of eight distinct subfields. Knowledge gaps within the subfields represent novel opportunities for future research on SL. The authors also suggest a new subfield of SL research: pedagogical approaches to the motivation and development of SL skills.

For organizations competing in volatile environments, strategic agility is the key for sustaining in the market. It is essential for such organizations to identify the main agility indicators that contribute to their strategic core. The purpose of this paper is to propose and test a systematic methodology that identifies key agility indicators through prioritization and establishing the intra- and inter-relationships among them.

The methodology consists of four phases. Phase I forms a pool of agility key performance indicators (KPIs). Phase II categorizes and ranks the KPIs based on their importance and the gap that exists between their current and desired level. Using interpretive structural modeling, phase III establishes the intra-relationships among the KPIs as well as agility attributes, agility enablers and improvement paths, collectively referred to as agility indicators. Finally, phase IV analyzes the inter-relationships among agility indicators using three consecutive houses of quality.

To demonstrate the capability of the proposed methodology, it was applied to a dairy food company operating in a competitive environment. The application could address the shortcomings of previous agility methodologies and helped the company to assign resources to the right agility indicators with the highest influence on strategic agility.

The methodology was applied to a single organization only. The application does not include long-term post-implementation observations and measurement of strategic agility.

Practitioners can benefit from the methodology to identify the right agility indicators of their organization and assign organizational resources for the improvement of such indicators. The methodology ensures selecting indicators that contribute to organization’s strategic agility, although ostensibly seem unrelated.

The paper contributes to the literature of strategic and organizational agility by proposing a systematic methodology that considers both intra- and inter-relationships among agility indicators. The methodology also makes a decent contribution in addressing organizational ambidexterity by analyzing mutually exclusive indicators pertaining to current and future opportunities for the organization.

The purpose of this paper is to develop an existing collaborative research methodology process (Sabri, 2018), contextualise it for application in humanitarian supply chains and test it empirically.

Building on collaborative research methodology and humanitarian supply chain literature, the Sabri’s (2018) collaborative research methodology process is further developed to comprise eight phases of collaborative research contextualised for the humanitarian supply chain domain. The process is applied in a collaborative research case of academia–practitioner knowledge co-creation in a humanitarian supply chain setting, focussing on environmental sustainability improvement. The collaborative case analysis suggests a number of refinements to the elements of the process. This study undertook two cycles of academia–practitioner collaborative research.

In testing the process, a noticeable improvement in the collaboration among different humanitarian stakeholders was observed, leading to improved stakeholder management. The implementation improved the sustainability awareness and social inclusion of the affected population. Rurality, remoteness, security issues and resistance of field staff against change were among the main challenges for supply chain researchers to engage in collaborative research in the humanitarian domain.

The paper addresses the rigour‒relevance‒reflectiveness debate in the humanitarian supply chain domain. A collaborative research methodology process derived from action research is further developed using humanitarian literature, and then it is applied in a humanitarian logistics case focussed on environmental sustainability. The present collaborative research process facilitates engaged scholarship among the humanitarian stakeholders, as the researchers’ roles move from observatory to participatory knowledge broker.

While humanitarian supply chains (HSCs) inherently contribute to social sustainability by alleviating the suffering of afflicted communities, their unintended adverse environmental impact has been overlooked hitherto. This paper draws upon contingency theory to synthesize green practices for HSCs, identify the contingency factors that impact on greening HSCs and explore how focal humanitarian organizations (HOs) can cope with such contingency factors.

Deploying an action research methodology, two-and-a-half cycles of collaboration between researchers and a United Nations agency were completed. The first half-cycle developed a deductive greening framework, synthesizing extant green practices from the literature. In the second and third cycles, green practices were adopted/customized/developed reflecting organizational and contextual contingency factors. Action steps were implemented in the HSC for prophylactics, involving an operational mix of disaster relief and development programs.

First, the study presents a greening framework that synthesizes extant green practices in a suitable form for HOs. Second, it identifies the contingency factors associated with greening HSCs regarding funding environment, stakeholders, field of activity and organizational management. Third, it outlines the mechanisms for coping with the contingency factors identified, inter alia, improving the visibility of headquarters over field operations, promoting collaboration and resource sharing with other HOs as well as among different implementing partners in each country, and working with suppliers for greener packaging. The study advances a set of actionable propositions for greening HSCs.

Using an action research methodology, the study makes strong practical contributions. Humanitarian practitioners can adopt the greening framework and the lessons learnt from the implementation cycles presented in this study.

This is one of the first empirical studies to integrate environmental sustainability and HSCs using an action research methodology.

The purpose of this paper is to investigate the effects of geometrical parameters, eccentricity and perforated fins on natural convection heat transfer in a finned horizontal annulus using three-dimensional lattice Boltzmann flux solver.

Three-dimensional lattice Boltzmann flux solver is used in the present study for simulating conjugate heat transfer within an annulus. D3Q15 and D3Q7 models are used to solve the fluid flow and temperature field, respectively. The finite volume method is used to discretize mass, momentum and energy equations. The Chapman–Enskog expansion analysis is used to establish the connection between the lattice Boltzmann equation local solution and macroscopic fluxes. To improve the accuracy of the lattice Boltzmann method for curved boundaries, lattice Boltzmann equation local solution at each cell interface is considered to be independent of each other.

It is found that the maximum heat transfer rate occurs at low fin spacing especially by increasing the fin height and decreasing the internal-cylindrical distance. The effect of inner cylinder eccentricity is not much considerable (up to 5.2% enhancement) while the impact of fin eccentricity is more remarkable. Negative fin eccentricity further enhances the heat transfer rate compared to a positive fin eccentricity and the maximum heat transfer enhancement of 91.7% is obtained. The influence of using perforated fins is more considerable at low fin spacing although some heat transfer enhancements are observed at higher fin spacing.

The originality of this paper is to study three-dimensional natural convection in a finned-horizontal annulus using three-dimensional lattice Boltzmann flux solver, as well as to apply symmetry and periodic boundary conditions and to analyze the effect of eccentric annular fins (for the first time for air) and perforated annular fins (for the first time so far) on the heat transfer rate.

The primary objective of the present study was to design and develop a model to identify the antecedents and consequences of user satisfaction with digital libraries.

The theoretical framework of this study was based on information system success theory, technology acceptance model (TAM), media affinity theory, satisfaction-loyalty theory and engagement theory. In so doing, eight hypothesized relationships were formulated to develop the conceptual model. The study approach was quantitative. Using simple random sampling technique, a total of 409 Iranian students participated in the study and responded to the survey. Descriptive and inferential data analysis was also performed using SPSS and SmartPLS3 software.

The results showed that the generic usability of digital library and the quality of digital resources could be used as a functional theoretical framework to predict and understand the factors contributing to user satisfaction in the domain of digital library. Increasing user satisfaction with digital library may have implications including recommending the digital library to others, the digital library reusing as well as the digital library engaging and integrating with them. It should be noted that system quality, service quality, and information quality are important factors in the formation of perceived usefulness, perceived ease of use, and digital libraries' affinity.

This study is the first attempt to empirically evaluate the antecedents and consequences of the user satisfaction with digital library presenting a new model. The model presented in this study can be used in future research as well. Also, this study has eloquently expanded the theories of user satisfaction with digital libraries.

The rising complexity of business changes has increasingly highlighted the requirements to provide a comprehensive and empirical framework for the supply chain agility (SCA). A review of extant studies shows that the results are complicated and ambiguous. Moreover, this study is a meta-analytical review of previous empirical studies to identify SCA antecedents and effects of SCA on firm performance.

According to the protocol, 64 studies were chosen as the sample to survey the relationships between five clusters of SC allopoietic properties (SCAPs) (SC connectivity, symbiotic relationship (SR), cognitive openness (CO), homeostasis and collaboration) and SCA, as well as its effects on firm performance.

Among antecedents, horizontal collaboration’s effect on SCA is the strongest, and the relationship between SR-SCA and CO-SCA is less than moderate. SCA affects firm performance and its dimensions, with a stronger effect on financial performance (FP). Furthermore, the SCA study in the framework of allopoietic systems is a good starting point for future research.

Managers are advised to constantly review repetitive interactions between the company and its environment and to learn about interactions between SC and the environment. Learning from these interactions and disseminating their explicit knowledge among company members lead to a quick response to the environmental instability.

As the first meta-analysis on SCA antecedents and its effects on firm performance, this study contributes to the SCA literature and provides research directions for the future.

This paper aims to provide an experimental/numerical analysis of free convection within a hollow/finned cavity.

The hollow square cavity is equipped with eight active fins which have a similar configuration and different temperatures. Furthermore, four different thermal arrangements are considered to determine the order of temperature for each fin. The coupled lattice Boltzmann method is used, which not only maintains the considerable advantages of standard lattice Boltzmann method such as accuracy but also enhances the stability of this method.

The cavity is filled with TiO₂-SiO₂/Water-Ethylene Glycol nanofluid. The thermal conductivity and dynamic viscosity of nanofluid are experimentally measured using high-precision devices in six concentrations of the nanoparticle. In this study, some main parameters, including a range of Rayleigh number (10³ < Ra < 10⁶), the concentration of nanofluid (0.5 to 3 Vol.%) and thermal arrangements of fins, are considered. The effects of these main parameters on the flow, isotherms, heat transfer performance and entropy generation are studied.

The originality of this paper is combining the numerical simulation (lattice Boltzmann method) using a modern approach with experimental observations of nanofluid’s properties.

Health tourism is a relatively new branch of international tourism that has developed more rapidly than other tourism sectors in recent years. This study aimed to investigate the effect of government supports on health tourism development by considering the mediating role of internal and external infrastructures.

The study population consisted of all experts of two hospitals in Iran, which are frequently visited by foreign tourists (N = 151). A questionnaire, developed by combining standard and researcher-made questionnaires, was used to collect the data. The confirmatory factor analysis (CFA) model was developed in SmartPLS 3 to test the hypotheses.

The main hypothesis test results indicated that government supports positively affect the development of health tourism. Internal and external infrastructures were also found to mediate the relationship between government supports and health tourism development. In addition, the sub-hypothesis test results showed that internal and external infrastructures are positively affected by government supports, which puts forth the development of health tourism. As the results explained, the most important aspects of internal infrastructures affected by government support were health service quality, cost of health services and applying advanced medical technologies, respectively. Also, different aspects of external infrastructures affected by government supports are as follows: economic, infrastructures and cultural factors.

This study is the first of its kind to examine the impact of both medical and non-medical factors on health tourism and signifies the crucial role of governments in the development of health tourism.