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This study aims to investigate whether quality of governance (QoG), trustworthiness and confidence impacted bank credit growth in Gulf Cooperation Council (GCC). In addition, it examined whether credit growth differed between Islamic and conventional banks in GCC countries.

Using data from 104 (56 conventional banks and 48 Islamic banks) banks located in GCC countries from 2012 to 2019, the two-step system generalized method of moments estimator was used to analyse the data.

Evidence was found of the influence of trust in institutions in boosting credit growth. The QoG generally expanded credit growth which instilled confidence in the economy and the banking sector. Credit growth was more pronounced for Islamic banks. This paper has contributed to the literature evaluating the determinants of credit growth in GCC.

This paper has been one of the few studies exploring the effect of trustworthiness and confidence (informal institutions) and macro governance (formal institutions) in GCC. GCC is different from other regions, as it is oil-dependent and shares similar legal, social and cultural aspects. This suggested that these might yield different results than expected.

The purpose of this study is to identify the underlying dimensions of trustworthiness of financial service providers in the Indian retail banking sector and to model trustworthiness as a set of second‐order factors. The study replicates and extends the work of Ennew and Sekhon in the Indian context.

Using the trustworthiness scale developed by Ennew and Sekhon this study identifies six first‐order factors of trustworthiness for retail bankers in India using exploratory and confirmatory factor analysis. Then the study modeled trustworthiness as a set of three second‐order factors using second‐order confirmatory factor analysis.

The first‐order factors obtained for trustworthiness of retail bankers are customer orientation, integrity and honesty, communication and similarity, shared values, expertise, and ability and consistency. The second‐order confirmatory factor analysis resulted in three higher order factors namely, competency, openness and benevolence.

The various dimensions of trustworthiness should be viewed as levers for improving a bank's trustworthiness in the minds of its current customers. At the same time, these dimensions will help them in reflecting an image of trustworthiness in the minds of its potential customers. Establishment of trustworthiness as an element of corporate image will provide competitive advantage to the service firms and improve their financial performance.

The research tests for the reliability and validity of the trustworthiness scale of Ennew and Sekhon. This study provides a window to the dimensions on which retail bank customers in an emerging economy such as India perceive a retail bank's trustworthiness. Furthermore, this study is an attempt to model trustworthiness as a set of second‐order factors.

The paper attempts to develop an approach to “trust” in leadership based on Herzberg's two‐factor theory.

The paper focuses on thoughts and current knowledge on leadership in organizations.

Challenging the orthodox view of leadership and charisma, the paper argues that leaders' “traits” (or values) matter significantly and do have a significant effect on “trustworthiness.” Their presence would then lead followers to evaluate “behaviors.” Their absence would trigger initial “mistrust.” This reinforces the significance of expected types of certain behaviors as determinants of trust in leadership. The paper culminates with a general hypothetical model justified through anecdotal considerations.

The paper lays the foundations for future empirical research aimed at testing the model.

This paper aims to focus on the design of algorithms and techniques for an effective set expansion. A tool that finds and extracts candidate sets of tuples from the World Wide Web was designed and implemented. For instance, when a given user provides <Indonesia, Jakarta, Indonesian Rupiah>, <China, Beijing, Yuan Renminbi>, <Canada, Ottawa, Canadian Dollar> as seeds, our system returns tuples composed of countries with their corresponding capital cities and currency names constructed from content extracted from Web pages retrieved.

The seeds are used to query a search engine and to retrieve relevant Web pages. The seeds are also used to infer wrappers from the retrieved pages. The wrappers, in turn, are used to extract candidates. The Web pages, wrappers, seeds and candidates, as well as their relationships, are vertices and edges of a heterogeneous graph. Several options for ranking candidates from PageRank to truth finding algorithms were evaluated and compared. Remarkably, all vertices are ranked, thus providing an integrated approach to not only answer direct set expansion questions but also find the most relevant pages to expand a given set of seeds.

The experimental results show that leveraging the truth finding algorithm can indeed improve the level of confidence in the extracted candidates and the sources.

Current approaches on set expansion mostly support sets of atomic data expansion. This idea can be extended to the sets of tuples and extract relation instances from the Web given a handful set of tuple seeds. A truth finding algorithm is also incorporated into the approach and it is shown that it can improve the confidence level in the ranking of both candidates and sources in set of tuples expansion.

This paper aims to get insight into managers' cognitive maps with respect to simplicity, realism and confidence, when talking about strategic marketing planning. Moreover, it analyses the impact of temporal modes of thinking on the three cognitive constructs studied.

A qualitative research is performed, touching the core of what is really going on in the manager's mind rather than just skimming the surface.

Past and present oriented thinking (often found in deductive and inductive approaches) are found to be more simple but less realistic than an abductive (may be) or even visionary (will be) approach. Moreover, managers seem to integrate elements of various schools of management thought when thinking about simplicity, realism and confidence.

Managers use management tools, frames and dimensions in a compound way when developing strategic marketing plans.

The paper sheds another light on how various schools of management thought are used in strategic marketing planning practice.

Focuses on the relationships and interactions between banks and corporate clients. Explores the possibility of approaching the bank‐company relationship from a different angle. Today banks are facing more aggressive competition and unlimited opportunities. It has become of paramount importance for banks to restructure the relationships with their corporate clients. Our theoretical framework can be traced back to two major theoretical models from outside the bank marketing literature, i.e. the Interaction Approach and the New Concept of Marketing. Empirical data were collected by means of questionnaires. A total of 300 questionnaires were mailed to a random choice of different companies in Sweden. Responses were received from 179 companies (60 per cent). Identifies a large number of factors which influence the interactive relationship between banks and companies.

Organisational trust is analysed through observation of operations or strategic prescription. The management and project management literature is largely prescriptive. The purpose of this paper is to examine the role and potential of strategic trust development and management to improve operations in the project business and enhance client satisfaction, analysing trust as social capital.

The analysis is supported by the method of and data gathered through CROL^®: a process for managing business relationships and interfaces. The case in question focuses on over 30,000 customer relationships covering five years of global operations by companies in the project business.

The analysis focuses on the connection between self‐awareness, performance, improvement and the impact upon both relationships and financial performance – social capital in the “balance sheet”. The objective is to identify the extent to which trust management can help bridge the gap between prescriptive strategy and operations. Bridging this gap entails linking trust as social capital with organisational culture, operational systems and routines, and behaviours.

The analysis shows the importance of self‐awareness in managing business relationships.

The paper outlines on a conceptual level how companies can manage trust and capture the value in business relationships.

The paper shows how companies through systematic forced reflection can manage trust in individual business relationships.

Corporate trainers' credibility has been universally ignored by researchers and its significance has remained elusive across cultures. Thus, the purpose of this present paper is to examine variations of trainers' credibility determinants in Canada and Morocco.

A comparative qualitative study with in‐depth interviews and the grounded theory approach were adopted to carry out the research. Participants in the study consisted of 60 civil servants employed in various governmental departments in Canada and Morocco.

A framework identifying distinct categories based on common determinants of trainers' credibility was constructed for each respective country. These categories were attributed the following designations: qualifications, perceived competence, perceived justice and perceived confidence for the Canadian sample; and qualifications, perceived competence, and personal attributes for the Moroccan sample. Similarities surfaced regarding some of the determinants in both cultures such as qualifications, and competence. However, Canadian respondents emphasized trainers' performance, fairness and confidence, while Moroccan trainees valued wisdom (hikma), honesty (sidk), trust (amanah) and the trainer as a role model.

The findings indicate that cultural values ought to be considered in trainers' credibility in efforts to enhance the level of comprehension regarding credibility determinants that could impact training success and effectiveness. It is also recommended that organizations consider taking into account the determinants of credibility during the selection process of trainers who will be primarily tasked with delivering corporate training to employees locally or in various cultural settings.

The paper provides groundbreaking insights as it is the first study to investigate trainers' credibility across cultures by resorting to an emic approach to provide a cross‐cultural perspective on the subject.

The research concerning brand credibility of charity brands is scantly examined. The purpose of this paper is to examine the moderating role of brand credibility within the customer-based brand equity model to investigate donor perceived brand equity of charity brands.

In a cross-sectional research design, a survey-based research strategy is followed to collect data from 448 active Muslim donors in Pakistan. The collected data are analysed by employing confirmatory factor analysis based on Smart PLS 2.0.

The results indicate that donor perceived brand association, brand awareness and brand loyalty strongly relate to perceived brand equity of charity brands. The brand credibility moderates the relationship between perceived quality, equity and brand loyalty, and equity paths.

The charity brands need to focus on building a strong brand image and reputation to uplift brand credibility which can be achieved by offering training programmes addressing various social causes such as HIV and Cancer prevention.

The proposed moderating effects of brand credibility and its application to charity brands operating in an Asian Muslim country context are unique products of this study.

Introduction: Big data in the insurance industry can be defined as structured or unstructured data that can affect the rating, marketing, pricing, or underwriting. The five Vs of big data provide insurers with a valuable framework for converting their raw data into actionable information. These five Vs are specifically: (1) Volume: The need to look at the type of data and the internal systems; (2) Velocity: The speed at which big data is generated, collected, and refreshed; (3) Variety: Refers to both the structured and unstructured data; (4) Veracity: Refers to trustworthiness and confidence in data; and (5) Value: Refers to whether the data collected are good or bad.

Purpose: Insurance companies face many data challenges. However, the administration of big data has allowed insurers to acknowledge the demand of their customers and develop more personalised products. In addition, it can be used to make correct decisions about insurance operations such as risk selection and pricing.

Methodology: We do this by conducting a systematic literature review on big data. Our emphasis is on gathering information on the five Vs of the big data and the insurance market. Specifically, how big data can help in data-driven decisions.

Findings: Big data technology has created an endless series of opportunities, which have ensured a surge in its usage. It has helped businesses make the process more systematic, cost-effective, and helped in the reduction in fraud and risk prediction.