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To enhance the loan repayment performance of microfinance institutions (MFIs) in Pakistan, this study aims to analyze the direct impact of social capital and loan credit terms on loan repayment performance and microenterprises’ business performance while considering the mediating role of microenterprises’ business performance on the relationship between social capital, loan credit terms and loan repayment performance.

The analysis was conducted based on the data gathered via a questionnaire distributed to 316 microenterprises owners. The respondents were selected using the stratified sampling technique by dividing the target population into three influential groups of manufacturing, trading and services microenterprises. The reliability and validity of the constructs were established using (1) factor loading, (2) Cronbach’s alpha, (3) composite reliability, (4) average variance extracted, (5) the variance inflation factor, (6) the Fornell–Larcker criterion and (7) the heterotrait–monotrait ratio. The structural equation modeling technique was then applied, and the hypotheses were tested based on the structure model generated through bootstrapping by using partial least squares structural equation modeling.

The results confirm the direct impact of social capital and loan credit terms on microenterprises’ business performance and loan repayment performance. It also supports the mediating role of microenterprises’ business performance toward the relationship between social capital, loan credit terms and loan repayment performance while considering the direct impact of microenterprises’ business performance on loan repayment performance.

To date, the direct impact of social capital and loan credit terms on microenterprises’ business performance and loan repayment performance has been hardly investigated in the context of Pakistan. This study also examines the mediating role of microenterprises’ business performance toward social capital, loan credit terms and loan repayment performance. The findings will enable both MFIs and microenterprises to improve their business performance and loan repayment performance through enhanced social ties and the development of more flexible credit products that protect the borrowers’ interests and the interest of lenders.

This paper aims to propose a system for generating actionable knowledge from Big Data and use this system to construct a comprehensive knowledge base (KB), called GrandBase.

In particular, this study extracts new predicates from four types of data sources, namely, Web texts, Document Object Model (DOM) trees, existing KBs and query stream to augment the ontology of the existing KB (i.e. Freebase). In addition, a graph-based approach to conduct better truth discovery for multi-valued predicates is also proposed.

Empirical studies demonstrate the effectiveness of the approaches presented in this study and the potential of GrandBase. The future research directions regarding GrandBase construction and extension has also been discussed.

To revolutionize our modern society by using the wisdom of Big Data, considerable KBs have been constructed to feed the massive knowledge-driven applications with Resource Description Framework triples. The important challenges for KB construction include extracting information from large-scale, possibly conflicting and different-structured data sources (i.e. the knowledge extraction problem) and reconciling the conflicts that reside in the sources (i.e. the truth discovery problem). Tremendous research efforts have been contributed on both problems. However, the existing KBs are far from being comprehensive and accurate: first, existing knowledge extraction systems retrieve data from limited types of Web sources; second, existing truth discovery approaches commonly assume each predicate has only one true value. In this paper, the focus is on the problem of generating actionable knowledge from Big Data. A system is proposed, which consists of two phases, namely, knowledge extraction and truth discovery, to construct a broader KB, called GrandBase.

The purpose of this paper is to investigate, in general, what are the contemporary external influences that have been dominant in Malaysian universities and what are the major local traditional practices that are also found in these universities.

From the literature review, the paper proposes a conceptual framework to explore hybridity in governance and management, programs and curriculum, teaching and learning, and research and service.

Using the conceptual framework, the paper discusses the Malaysian higher education in terms of Western influence and indigenization of Western models, the background context of Islamic universities and seven possible hybridities compiled from anecdotal evidences.

The conceptual framework and possible hybridities identified in the paper serve to provide the guide to a more systemic empirical investigation to examine the characteristics of Malaysian universities emerging from the interaction between external influence and local cultures. The Malaysian case also potentially contribute in exploring the question, “Are Asian universities different from Western universities?”.

The purpose of this paper is to ease the methodological application of critical realist multilevel research in business marketing. Although there has been plenty of theoretical contributions in this field, it is not always clear how critical realism can be best applied in business marketing settings. Accordingly, this paper addresses this gap in literature. Also, this paper addresses the calls for a multilevel conceptualization for resilience, based on the critical realist laminated systems.

This is a conceptual paper, which uses pre-existing literature to develop a critical realist methodological approach for the purposes of multilevel business marketing research. The contribution is based on literature by combining pre-existing ideas in a new way in the context of business marketing.

This paper makes a methodological contribution by introducing the critical realist “laminated systems” to business marketing as a multilevel research approach. Furthermore, the authors conceptualize a specific laminated model, the Laminated Interactional Model (LIM), that is designed for the purpose of business marketing research. The LIM is a methodological tool that conceptualizes business marketing based on six levels of analysis, easing the methodological application of critical realism in business marketing settings. In addition, to provide an example, the authors apply the LIM to the literature on resilience, providing a multilevel conceptualization. This is a timely contribution, as resilience has emerged as a central concept addressing interorganizational survival during the COVID-19 pandemic.

This paper makes three main contributions to business marketing. First, this paper provides a methodological contribution by introducing the critical realist notion of “laminated systems” to business marketing. Second, this paper conceptualizes a specific laminated model for business marketing, namely, the LIM. Third, as a response to the COVID-19 pandemic, this paper will apply critical realism and the LIM to the notion of resilience, addressing the calls for multilevel conceptualizations.

The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to examine the relational embeddedness as the differentiator of supply chains operating in the clusters.

The conceptual model was tested with data collected from 475 industrial companies cooperating with their partners within supply chains, including 135 CSC. To identify the livraisons between different indicators, the correspondence analysis was applied.

The division of enterprises participating in this study into groups allows for the determination of relatively clear boundaries between enterprises belonging to the cluster and those that do not declare such affiliation. The obtained results confirmed that the relational embeddedness is the differentiator of the CSC collaboration.

The main limitations are referred to as the static character of the data.

The paper contains implications for cluster facilitators, as well as for cluster policy decision makers, to better design support for cluster organizations.

This research is a contribution to the literature on inter-organizational structures, such as clusters and supply chains, and in particular, contributes to the creation of the scientific ground of SCS theory. The research allowed to better understand the nature of collaboration taking into consideration the fact of the relational embeddedness of the companies operating within supply chains located in clusters. It proves the existence of a new type of inter-organizational form that is CSC.

This paper aims to focus on the relation between digital transformation and banks’ reputation, as examined through the information disclosed by the five largest Italian banking groups’ efforts to extend and enhance their digital resources. Considering digitalization as a key strategy for managing reputation, which, in turn, can leverage financial and value performance management, the paper investigates whether and how digital activities might affect banks’ reputation. Therefore, this paper proposes the relationship between digitalization and reputation as a lever for performance management and for increasing efficiency.

The authors use content analysis to generate a digital disclosure index, categorizing activities human, structural and relational. For banks’ reputations, the proxies are a measure of corporate reputation and a reputational risk index. Methodologically the study used multiple case studies, considered as particularly suitable to gain an in-depth understanding of the topic in the case of the five banks. A collection of secondary data and semi-structured interviews are included.

Overall, the digitalization-reputation link shows that banks’ reputation is variously affected, not only by exposure to risk (including reputational risk) but also by strategic issues such as digitalization and the effectiveness of the corresponding communication. Consequently, banks should view digitalization as a key driver to be considered not in a stand-alone perspective, but in a combined approach.

Continued research should include the Covid-19 implications. Additionally, it would be important to compare a larger number of banks, with different characteristics, also including variables indicating the corporate governance mechanisms.

The analysis contributes to fostering scholars’ and practitioners’ management of the digital transformation challenge that is a current key-factor, capable of increasing banks’ value. It considers not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

This paper extends prior research on the digitalization-reputation relation by investigating digital transformation through disclosure of activities in this area within the Italian banking sector. It allows to leverage the key-factors that can contribute to increasing banks’ value, considering not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

The purpose of this paper is to conduct a systematic literature review of studies addressing relational quality in public–private partnerships (PPPs). The ambition of this study is twofold: first, to present more clarity regarding the definition of the concept. Second, to develop a framework that explains the antecedents, characteristics and outcomes of relational quality in PPPs.

A systematic literature review of 99 academic articles, which were analyzed and coded on the definition, characteristics, antecedents and outcomes of relational quality.

The study shows that trust, communication, commitment, openness and reciprocity are considered core aspects of the concept. The analysis further identifies important antecedents (e.g. shared values, leadership) and outcomes (performance, innovation) of relational quality in PPPs. The findings result in the development of a framework on relational quality in PPPs to be used for further research.

The findings indicate that relational quality is valuable for the functioning of PPPs, but the current focus of this review excludes studies addressing relational quality in other types of collaboration and public–private exchange. The lessons from these research fields might further improve people’s understanding of relational quality.

Practitioners should pay attention to relational quality in long-term PPPs. Among others, (process) management activities might contribute to relational quality as it stimulates communication and openness.

The presented framework explaining antecedents, characteristics and outcomes of relational quality allows for more structured use of this concept in future research.

This study aims to contribute to the field of customer portfolio management by proposing a novel approach rooted in dialectic critical realism (DCR). DCR, as an ontological theory, enables a fundamental reimagining of customer portfolio management as a dialectic process. The conceptualized dialectic portfolio management is motivated by the concept of “absence”, akin to Hegelian “antithesis”, which highlights limitations, problems and tensions in portfolio management. In essence, “absence” serves as a diagnostic tool that directs portfolio actions towards resolving problems by pursuing a more comprehensive “totality”, similar to the Hegelian notion of “synthesis”.

This conceptual paper theorizes DCR in business marketing and customer portfolio management.

DCR conceptualizes customer portfolios as relational structures characterized by omissions and tensions. These issues are addressed through a dialectic synthesis aimed at achieving a more comprehensive “totality”. Consequently, DCR guides portfolio management to continually re-think the connections and distinctions that define a portfolio within its network context. This dialectic process is facilitated by a novel vocabulary that enhances the understanding of network and portfolio relations, incorporating concepts such as “intrapermeations”, “existential constitutions”, “intra-connections” and “intensive” and “extensive” portfolio practices.

This study aims to foster a fresh and process-oriented perspective on portfolio management, drawing inspiration from the growing demand for enriched dialectic theorizing within the realm of business marketing. The adoption of a dialectic process orientation based on DCR revolutionizes the comprehension of portfolio management by fundamentally reimagining the underlying ontological assumptions that underpin the existing body of literature on customer portfolios. Moreover, DCR asserts that ethical considerations are inextricably linked to human experiences and associated practices, emphasizing ethics as an integral component of customer portfolio management.

This paper aims to apply an integrated data envelopment analysis (DEA) and analytic hierarchy process (AHP) approach to a multi-hierarchy grey relational analysis (GRA) model. Consistent with the most real-life applications, the authors focus on a two-level hierarchy in which the attributes of similar characteristics can be grouped into categories. Nevertheless, the proposed approach can be easily extended to a three-level hierarchy in which attributes might also belong to different sub-categories and further be linked to categories.

The procedure of incorporating the DEA and AHP methods in a two-level GRA may be broken down into a series of steps. The first three steps are under the heading of attributes and the latter three steps are under the heading of categories as follows: computing the grey relational coefficients of attributes for each alternative using the basic GRA model which further provides the required (output) data for an additive DEA model; computing the priority weights of attributes and categories using the AHP method which provides a priori information on the adjustments of attributes and categories in additive DEA models; computing the grey relational grades of attributes in each category for alternatives using an additive DEA model; converting the grey relational grades of attributes to the grey relational coefficients of categories; computing the grey relational grades of categories for alternatives using an additive DEA model; computing the dissimilarity grades of categories for the tied alternatives using an additive DEA exclusion model.

The proposed approach provides a more reasonable and encompassing measure of performance in a hierarchy GRA, based on which the overall ranking position of alternatives is obtained. A case study of a wastewater treatment technology selection verifies the effectiveness of this approach.

This research is a step forward to overcome the current shortcomings in a hierarchy GRA by extracting the benefits from both the objective and subjective weighting methods.

This study investigates the role of collaborative spaces as organizational support for internal innovation through cross-functional teams and for open innovation with external stakeholders. In particular, the study focuses on collaborative spaces as tools for multiplex (i.e., simultaneous internal and external boundary management in innovation projects).

The authors conducted a qualitative study in a multi-divisional organization that set up in its headquarters a collaborative space for collaborative product development. Data were collected through semi-structured interviews and participant observations.

Findings highlight that the relation between expectations and experiences about the collaborative space impact on employees' ability to perform boundary work inside and outside the organization. In addition to the collaborative space's affording role for expectations about hands-on collaborative innovation (space as laboratory), the study also highlights a set of collaboration constraints. These latter are generated by perceived boundary configurations (i.e. degree of boundary permeability and infrastructure in internal and external collaborations) and by discrepancies between expectations (space as laboratory) and actual collaboration experiences in the space (i.e. space as maze, cloister, showcase and silo). We show that space-generated constraints slow down internal and external boundary work for innovation and generate a trade-off between them.

Using the process-based perspective of boundary work, the paper connects studies on cross-functional teaming and open innovation through the concept of “multiplex boundary work.” It also contributes to the literature on boundary work by showing the challenges of using collaborative spaces as organizational support tools for multiplex boundary spanning.