This study examines the strategic and operational outcomes of effective implementation of quality improvement initiatives in different service operational environments. Using a sample of 354 service organisations, this study utilises a structural equation modelling (SEM) approach to investigate the effectiveness of quality improvement initiatives. The results show clear strategic and operational benefits of effective implementation of quality improvement initiatives. The study concludes that the quality improvement efforts of service organisations should be viewed from a system-wide perspective. This systematic orientation leads to benefits which are not always achievable based on a piece-meal implementation orientation.

Purpose: This study aims to investigate Information Systems (IS) project risks in the South African public sector, and to develop a systemic model of the most dominant risks encountered and identify the interrelationships that exist between these risks. Design and methodology: The study is conducted through the application of Interactive Management (IM) to identify IS project risks and structure the interrelationships between them. The IM methodology comprises of four key phases: Idea Generation, Idea Clarification, Idea Structuring, and Interpretation. A workshop with a group of participants is required to carry out an IM intervention successfully. During the Idea Generation phase, participants are asked a triggering question to elicit ideas, which are then clarified and structured in the subsequent phases of IM before final interpretation. Findings: In the Idea Generation phase, six IM participants working on public sector IS projects were asked a triggering question to elicit dominant IS project risks they perceive to be important. The participants initially identified 34 IS project risks, which were reduced to 24 after they brainstormed their relevance during the Idea Clarification phase. Further deliberations led to the participants removing another risk during the Idea Structuring phase. During the Idea Structuring phase, the remaining 23 risks were structured to produce an Interpretive Structural Modelling (ISM) digraph with the aid of software. The ISM digraph revealed three risk factors as the primary drivers of IS project risks in the public sector, specifically, in the context of this study. These risks are ‘lack of consultation with users', ‘budget cuts' and ‘excessive red tape'. Value of study: This research contributes to the following: (1) the existing knowledge-base on public sector IS project risk management; (2) the focus on a soft systemic approach such as IM helps in uncovering context-specific issues on IS project risks that may not be available in extant literature; and (3) the collaborative learning process of the IM approach adds to research on the sustainability of complex IS projects implemented in the public sector.

Yes / Contemporary design decomposition and synthesis analytical tasks at the conceptual design stage reply on functional and structural modelling approaches. There is a wide diversity of elements used by various modelling approaches for information and representation of product architecture, which incurs difficulties for multidisciplinary engineers working across different phases of design in capturing, visualising, sharing and tracing consistent yet common knowledge and elements across the function and structure domains. This prompts for fixation of detail and common modelling knowledge across both functional and structural analytical approaches which is also critical from automatized software perspective. A limitation of existing approaches is that they tend to focus more on ‘what’ and less on ‘how’ (and vice versa). This paper proposes an integrated conceptual product architecting approach that combines and expands the functional and structural modelling approaches, enabling capturing and tracing knowledge coherently through a common binding domain. This is underpinned by the view that most interaction requirements amongst the physical components during structural modelling can be derived from functional modelling. The proposed integrated approach is underpinned by the critical analysis and synthesis of existing approaches in literature dealing with functional and structural architecture analysis, integrated within a Multiple Domain Matrix (MDM) to fuse the knowledge of both solution independent (functional) and dependent (structural) analyses. The proposed framework is illustrated with a case study of solar robot toy, followed by discussion and suggestions for future work.

Yes / Circular supply chain (CSC) emphasises surge in application of reuse, recycling, remanufacturing and thereby promotes transformation from linear to circular model of flow of products. Supply chains of manufacturing industries have become global over the years. Products manufactured in developing nations are being sent to developed nations for mass consumption. Developed nations have regulatory policies, technological knowhow and modern infrastructure to adopt CSC model. Their counterpart is trailing in these aspects. In literature, limited work has been performed on identifying challenges of implementing CSC in developing nations. Therefore, employing literature review and feedback received from experts, 16 important barriers were identified to CSC adoption in India. These barriers were analysed using integrated Interpretive Structural Modelling ? MICMAC approach. The findings will contribute in transforming supply chains thereby bringing economic prosperity, addressing global warming and generating employment opportunities. Finally, crucial policy measures and recommendations are proposed to assist managers and government bodies.

Yes / This paper studies the Critical Success Factors’ (CSFs) for the adoption of Digital Payment System in India. There are few studies about the literature on CSFs for the adoption of the digital payment system in the Indian context. This study is an attempt to cover this gap. In this study, we reviewed the theories for adoption model at the individual level used in Information System (IS) and discussed four technology model including “Technology Acceptance Model” (TAM). Ten factors have been identified with extensive literature review and review of selected models namely; Perceived Ease of Use, Perceived functional benefits, Awareness, Availability of Resources, Government as a policy maker, Performance Expectancy, Social Influence, Price Value, Experience & Habit, and Risk-taking ability. An expert from academic industry has been taken as a reviewer or consultant of the selected variables. The CSFs may ensure that they are the predictors and the important factors for adoption of digital payments system in India. The study mainly uses the deductive approach to consider the primary and secondary sources of data. The analyses of these models take into account through Interpretive Structural Modeling (ISM) methodology and develop a model for effective adoption of Digital Payment System in India. The paper also makes future recommendations for further research studies.

Yes / The wider use of Internet of Things (IoT) makes it possible to create smart cities. The purpose of this paper is to identify key IoT challenges and understand the relationship between these challenges to support the development of smart cities. Design/methodology/approach: Challenges were identified using literature review, and prioritised and elaborated by experts. The contextual interactions between the identified challenges and their importance were determined using Interpretive Structural Modelling (ISM). To interrelate the identified challenges and promote IoT in the context of smart cities, the dynamics of interactions of these challenges were analysed using an integrated Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC)-ISM approach. MICMAC is a structured approach to categorise variables according to their driving power and dependence. Findings: Security and privacy, business models, data quality, scalability, complexity and governance were found to have strong driving power and so are key challenges to be addressed in sustainable cities projects. The main driving challenges are complexity and lack of IoT governance. IoT adoption and implementation should therefore focus on breaking down complexity in manageable parts, supported by a governance structure. Practical implications: This research can help smart city developers in addressing challenges in a phase-wise approach by first ensuring solid foundations and thereafter developing other aspects. Originality/value: A contribution originates from the integrated MICMAC-ISM approach. ISM is a technique used to identify contextual relationships among definite elements, whereas MICMAC facilitates the classification of challenges based on their driving and dependence power. The other contribution originates from creating an overview of challenges and theorising the contextual relationships and dependencies among the challenges.

Yes / The food retailers have to make their supply chains more customer-driven to sustain in modern competitive environment. It is essential for them to assimilate consumer’s perception to improve their market share. The firms usually utilise customer’s opinion in the form of structured data collected from various means such as conducting market survey, customer interviews and market research to explore the interrelationships among factors influencing consumer purchasing behaviour and associated supply chain. However, there is abundance of unstructured consumer’s opinion available on social media (Twitter). Usually, retailers struggle to employ unstructured data in above decision-making process. In this paper, firstly, by the help of literature and social media Big Data, factors influencing consumer’s beef purchasing decisions are identified. Thereafter, interrelationships between these factors are established using big data supplemented with ISM and Fuzzy MICMAC analysis. Factors are divided as per their dependence and driving power. The proposed frameworks enable to enforce decree on the intricacy of the factors. Finally, recommendations are prescribed. The proposed approach will assist retailers to design consumer centric supply chain. / Project ‘A cross country examination of supply chain barriers on market access for small and medium firms in India and UK’ (Ref no: PM130233) funded by British Academy, UK.

Yes / This study extends the debate surrounding the components of IS project success by reviewing success factors from the perspective of their interdependency and influence on each other. This research utilises interpretive structural modelling as the methodology and framework to develop the relationships between the selected factors. This approach is presented as a mechanism that can provide greater insight to the underlying causal interrelationships associated with IS project success and the successful transition to operations. The findings identify a number of key outcomes that have significant driving influence on other interconnected factors in the final model. This study highlights the benefits of an interpretive approach where IS factor interrelationships can be modelled to demonstrate potential influence on other connected factors thereby, increasing the chances of project success.

Yes / Many developing countries across the world are allocating a significant share of their budgets for e-government initiatives. Common service centers (CSCs) are e-government initiatives that aim to increase access to public services and promote easy and direct interaction with the government. These e-government initiatives are largely underutilised, especially in rural areas in developing countries. This study attempts to identify the key challenges facing CSCs and determine their hierarchical relationships in the context of rural India. A set of 15 challenges was identified through a rigorous literature review and by surveying experts and CSC owners. Data were collected on the identified challenges and were analysed using interpretive structural modeling (ISM)-MICMAC-fuzzy MICMAC analysis. Subsequently, we developed a hierarchical model of challenges. The findings revealed that “longer travel time and transaction cost”, “low digital literacy”, and “low awareness” of e-government services are among the key challenges CSCs face in rural India. This study suggests several recommendations to all the stakeholders involved in the management of CSCs to improve the delivery of e-government services in rural India.

Digital transformation represents an unprecedented strategic challenge for established manufacturing companies, but the theoretical understanding of its implications is still lacking. It is accordingly difficult for management to develop an adequate digital transformation strategy and decide on appropriate organisational implementation measures. The aim of this work is therefore to address the organisational management challenges related to digital transformation of manufacturing companies through strategic digital transformation programmes. It is based on the input of 39 managers with diverse backgrounds, digital and non-digital, within the manufacturing industry. This study enhances the open systems organisational theory approach and the concepts of temporary organisations. It identifies 21 different organisational management factors that are relevant for the digital transformation of a manufacturing company. Interpretive Structural Modelling (ISM) has been applied to derive an empirical model that organises those factors according to their level of influence. The factors related to organisational leadership, internal organisational structures and operational capabilities have the strongest influence on the digital transformation challenges. This includes the understanding that in the context of digital transformation, a strategic programme cannot be conceived separately to the embedding company organisation. The practical implications of the empirical model on management are derived by this study as well. It suggests that the non-linear nature of digital transformation requires management to continuously embrace and not restrict organisational and operational complexity. Instead, focus should be placed on establishing frameworks that provide operational guidance, supported by substantial management efforts to foster commitment across all organisational levels towards digital transformation goals.