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In pursuit of achieving Education‐For‐All goals of universal primary education and improving quality of education, the Indian Government has been providing substantial resources to Indian states. The responsibility of providing access and quality remains the states' responsibility. Assessment of educational development will therefore become a focal point of the Center for Education Policy & Guidelines Formulation. While educational development indices help in ranking states, they do not help in capturing best practices and assessing the efficient utilization of resources. Assessment of the Educational Development Efficiency can augment educational development indices in vogue. The purpose of this paper is to develop an Educational Development Efficiency (EDE) model to benchmark the Indian states.

This paper uses an input‐process‐output conceptual framework to identify the dimensions of educational development. This paper employs Data Envelopment Analysis (DEA) to compare relative efficiency of 28 states and seven Union territories in India and benchmark them. In order to strengthen the discriminatory power of DEA, cross‐efficiency model was used. Factor analysis was performed to determine the inter‐relationships between variables. The efficiency impacting variables were identified using multiple regression analysis.

This paper benchmarked Indian states on educational development based on their performance. Gross enrolment ratio, students' academic performance and infrastructural investments were identified as the three key variables impacting states' EDE. This paper has shown that the educational administrators can use the EDE model to identify the best practices from efficient states. Insights into utilization of input resources to enhance educational development and consequent improvement of state efficiencies are presented. Four components have been identified to analyze the states' educational development progress – namely, financial adequacy, school resource strength, educational quality and educational access.

Contributions of this paper pertain to evolving a decision support model for national education policy planners, besides providing analytic support to the administrators of the states to benchmark and emulate the efficient educational programs.

This paper is one of the few published studies concerning the evaluation of educational development programs launched in the Indian schools and providing a cross‐comparison of the Indian states for the purposes of performance benchmarking as well as exploring the influencing factors.

This research paper aims to investigate the effects of internal audit’s (IA) use of data analytics and the performance of consulting activities on perceived IA quality.

The authors conduct a 2 × 2 between-subjects experiment among upper and middle managers where the use of data analytics and the performance of consulting activities by internal auditors are manipulated.

Results highlight the importance of internal auditor use of data analytics and performance of consulting activities to improve perceived IA quality. First, managers perceive internal auditors as more competent when the auditors use data analytics. Second, managers perceive internal auditors’ recommendations as more relevant when the auditors perform consulting activities. Finally, managers perceive an improvement in the quality of relationships with internal auditors when auditors perform consulting activities, which is strengthened when internal auditors combine the use of data analytics and the performance of consulting activities.

From a theoretical perspective, this research builds on the IA quality framework by considering digitalization as a contextual factor. This research focused on the perceptions of one major stakeholder of the IA function: senior management. Future research should investigate the perceptions of other stakeholders and other contextual factors.

This research suggests that internal auditors should prioritize the development of the consulting role in their function and develop their digital expertise, especially expertise in data analytics, to improve perceived IA quality.

This research tests the impacts of the use of data analytics and the performance of consulting activities on perceived IA quality holistically, by testing Trotman and Duncan’s (2018) framework using an experiment.

Social entrepreneurs in both the developed and the developing countries have established social enterprises with the intent of solving social problems leveraging social innovations that create sustainable social impact goals. The research gap that calls for this research is the question: ‘Are social problems, social objectives, social activities, social outputs, social outcomes and social impact goals of social enterprises the same in the developed and the developing countries?’ Against the above backdrop, this chapter presents a comparative discourse of cases of social enterprises in the developed and developing countries using the Theory of Change framework to provide answers to the above research question. The chapter adopts a qualitative research method to generate rich findings from diverse cases, reports, articles, and other secondary sources from the developed and developing economies. To ensure academic rigour and objectivity, a sample of 50 scholarly works on social enterprises were reviewed, which produced in-depth insights on the subject. Additionally, 16 cases on social enterprises from the developed and developing countries were purposively selected and meticulously analysed using the content analysis (CA) and the thematic analysis (TA). The first finding revealed that the social enterprises in the developed countries focused on ‘the secondary-level social issues’ such as education, health, environmental issues, psycho-social disabilities, wealth inequality, integration enterprises, work-integration services, financial exclusion, and gender balance. This is the focus of Ashoka, Children Commissioner, Allen Carr Easyway, Angaza Design Inc., Bridge International Academies, and others. The second finding indicated that the social enterprises in the developing countries focused on ‘the primary level social issues’ such as illiteracy, poor school enrollment, unemployment, poverty, social exclusion, gender imbalance, weak healthcare system including hygiene and sanitation. This is the focus of VisionSpring, Danone Clover – Daniladies and Danimama, Unjani Clinic NPC, Indego Africa, and others. The implication of the findings is that irrespective of continental contexts, social enterprises are established to bridge critical social problems, hence their philosophy transcends geographical contexts. The chapter concludes with a summary of insightful information and suggestions, which could trigger more empirical research on the subject.

The purpose of this paper is to explore corporate entrepreneurship and the relationship between intrapreneurship and the proposed strategic models through a literature review. This paper reviews the strategic approach for increasing internal innovation performance at corporations.

Key words were identified to use in the literature search: corporate entrepreneurship, innovation performance and entrepreneurial environment. Then, all of the several electronic databases available in the university’s electronic library, including Harvard Business Review and The University of Chicago Press, as well as journals, books, Google Scholar and other institutional resources.

The six innovative outcomes are motivating individuals to engage in innovative behavior, concentrating entrepreneurial ventures through a newly minted organization within a corporation, helping innovative-minded people to reach their full potential, rewarding a corporate entrepreneur, encouraging people to look at the organization from a broad perspective and educating employees about corporate entrepreneurship.

The study was exploratory, based on a literature review. Further studies are needed using empirical research to examine why corporate entrepreneurship was attributed to be the strategic approach for internal innovation performance.

By implementing the strategic approaches, corporate management professionals can realize their entrepreneurial intentions for the firm and maintain their responsibility to shareholders in terms of other business and development goals.

The research constructs an input-process-output framework that minimizes external mergers and acquisitions and maximizes internal innovation performance. Value was created when corporate entrepreneurship was identified as a strategic approach for internal innovation performance.

The extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have helped us to systematically understand the antecedents and consequences of FNI. This study contributes to the understanding of FNI and guides future research.

Drawing on the input–process–output framework, this study reviews 202 relevant articles to examine the extent to which the antecedents and consequences of FNI have been investigated. It proposes a conceptual framework and poses future research questions.

First, it examines the “what”, “why”, “who”, “when”, “where” and “how” of creating FNI. Second, it analyses the spread features of FNI and the factors that affect the spread of FNI. Third, it investigates the consequences of FNI in the political, social, scientific, health, business, media and journalism fields.

The extant reviews on FNI mainly focus on the interventions or detection of FNI, and a few analyse the antecedents and consequences of FNI in specific fields. This study helps readers to synthetically understand the antecedents and consequences of FNI in all fields. This study is among the first to summarise the conceptual framework for FNI research, including the basic relevant theoretical foundations, research methodologies and public datasets.

This study aims to explore existing study trends in the halal supply chain (HSC) field as an extension of supply chain studies. Upon examining multiple journal ranks and citation profiles, these trends cover research themes, methodologies, settings (country and data analysis level) and their interactions.

The study followed a systematic, mixed-method review to pinpoint the HSC research themes. The Publish or Perish software, with specific criteria, was used to retrieve and filter 87 HSC articles from 2009 to 2019 from the Google Scholar database. Then, an input–process–output framework was used to classify and discuss potential future research.

This study concludes that HSC research is still in early development. Five themes consisting of 24 different topics were found: the engagement process, quality control assurance, critical success factors, the production and distribution process and HSC operations support. Most of the HSC studies followed conceptual and qualitative interview methods, with special reference to Muslim-majority countries and organization-level analysis. Within one decade, the number of HSC publications grew significantly, though their presentation is mainly in unindexed journals and their citation rate is low. This study thus proposes three main future HSC research points: HSC consequences, processes and antecedents.

Possible practical implications can be expected from the authors’ proposed empirical studies as guidelines to formulate and promote HSC implementation.

No comprehensive HSC research review exists in the literature. This study intends to fill this void by charting cumulative knowledge and proposing a roadmap for future research endeavors.

The purpose of the paper is to better understand how global boundaries affect global information system (IS) project success and which mediating process variables increase the chance of success.

Based on the literature on IS success and global teams, an input‐process‐output framework is adopted to develop the research model for the study. This research is based on semi‐structured interviews with 22 global IS project managers. An attribution analysis is used to identify common themes and patterns of the interview results.

Global IS project managers identified time separation and cultural differences as the most significant barriers to project success. Our findings suggest that effective teams were able to overcome these barriers to achieve success, but this success was achieved through the implementation of special coordination, communication and cognitive processes tailored to help teams overcome global barriers and through considerable additional cost and effort.

This study furthers understanding of the global boundaries affecting global IS project success and the most effective processes that teams use to overcome global barriers.

Despite the increasing attention to global IS work, there is limited understanding of why and how global IS projects succeed or fail. The present study, investigates not only how multiple global boundary variables (e.g. geographic dispersion, time separation, language differences, cultural differences, etc.) affect IS project success, but also which processes teams use to cope with the challenges presented by these global boundaries.

The purpose of this paper is to understand how digital technologies can help healthcare organisations and improve the exploration-exploitation paradox over time. The authors explore inputs, processes and outcomes of implementing digital transformation programs and advance four testable propositions.

The authors conducted multiple case studies with embedded units of analysis: digital transformation processes; hospitals; and regional healthcare systems. Primary sources come from 107 semi-structured interviews with key informants within 14 Italian hospitals between 2009 through 2011.

Three complementary paths emerge as fundamental to balance exploratory and exploitatory efforts in healthcare: assets digitalisation within hospitals; digitally based process integration; and disruptive decision-making through analytics. Intra- and inter-path characteristics are discussed to show how digital transformation can both move hospital within the exploration-exploitation space.

By its very nature, this study is exploratory. Notwithstanding the number of cases and interviews, its generalisability is limited.

Digital transformation programs are fundamental to resolve the tensions raised by the exploration-exploitation paradox. Their implementation leads to better performance (cost reductions, quality improvements). A framework is provided for practitioners to make better decisions.

This study sheds new light on how digital technologies are actually adopted and adapted in healthcare contexts. It does it by entailing a longitudinal perspective.

A series of “learning lab” projects on disaster risk management for sustainable development (DRM-SD) have been accomplished from 2014 to 2016 in Malaysia, Vietnam, Lao PDR and Cambodia by the Centre for Global Sustainability Studies. The project is designed for professionals from the disaster risk management field to encourage integration of sustainable development (SD) concerns into the larger planning framework for DRM. As a case study for capacity building (CB) evaluation, the central purpose of this study is to explore the approaches, feedbacks and implications of the DRM-SD CB project that have been developed and carried out.

Three methods have been used which are participation observations, surveys and document analysis. The results show that the project had successfully applied seven different tools to enhance analytical skills and professional knowledge of development practitioners in specific areas of DRM-SD.

Based on the survey, the project received positive response and valuable information from participants for future project development. Regarding the perspective of outcomes, the result indicates that south–south, ASEAN regional and triangular cooperation and role of higher education in DRM-SD are significant impacts from this project which can bring several benefits and should be promoted as an approach for the DRM-CB project as a whole.

It is hoped that this study will serve as a transfer learning initiative to provide approach guidelines and innovative mechanisms for DRM practitioners who will have the know-how and potential for leadership in DRM-SD.

Knowledge management (KM) is an important topic in the age of big data, and this study adds to the existing body of literature by providing a novel KM perspective on the technological phenomenon of artificial intelligence (AI). This study aims to discover how AI might facilitate knowledge-based business-to-business (B2B) marketing. In this chapter, the authors take a close look at the building blocks of AI and the relationships between them. Future research directions and also the effects of the various market information building components on B2B marketing are discussed. The study’s approach is theoretical; it tries to provide a framework for characterising the phenomenon of AI and its constituent parts. Additionally, this chapter provides a methodical analysis of the three categories of market information crucial to B2B marketing: knowledge of customers, knowledge of users, and knowledge of external markets. This research looks at AI through the lens of the conventional data processing framework, analysing the six pillars upon which AI systems are founded. It also explained how the framework’s components work together to transform data into actionable information. In this chapter, the authors will look at how AI works and how it can benefit B2B knowledge-based marketing. It’s not aimed at AI experts but rather at general marketing managers. In this chapter, the possible effects of AI on B2B marketing are discussed using examples from the real world.