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.

Hamad Medical Corporation, the main healthcare provider in the state of Qatar, sponsored this study to investigate the use of electronic records management as the basis for a novel information management system in its Nursing Department. To assess the viability of an electronic records management system a questionnaire survey of a representative sample of the staff and interviews with key post holders were under taken. Results obtained indicated a wide spread dissatisfaction with the existing manual system. However, introduction of any computer-based technology requires great care. To assist with identifying any issues with this technological change, Soft System Methodology (SSM) was employed to discern what changes could be made to improve the current problematic situation found in the Nursing Department. In fact the change archetypes uncovered (procedural, attitudinal, structural and cultural) formed an innovative input into obtaining a roadmap for development of the electronic staff records system. This roadmap was facilitated by the use of Nominal Group Technique (NGT) and Interpretive Structural Modelling (ISM): In fact the roadmap was an ISM intent structure. The roadmap suggested that change could be affected by having written policy documents and the top goal to be achieved reflected an improvement in manpower placing and budgetary forecasts. The use of a multi-methods approach meant that as well as this study's main objectives being reached, the process encompassed some methodological innovations. This study is the first to use the output of SSM to facilitate the NGT and ISM interactions. Equally, it is the first study of its sort to be applied to the Nursing Department at HMC, Qatar, which is an example of a cross-cultural eastern philosophical tradition. The methods used here revealed some significant findings, and have helped in the development of an electronic records management system for use at HMC, Qatar.

During recent years, supply chain risks have gained importance in the food supply chain. This study presents a methodology to analyse the risk in the agri-food supply chain belonging to the Andean region in Peru. It utilises the interpretive structural modelling (ISM) with matrice d' impacts croises multiplication appliqué an classement (cross-impact matrix multiplication applied to classification, abbreviated as MICMAC) to identify and understand relationships between risk types. Based on the empirical data collected from the food industry experts, ten risk factors were identified as relevant. Finally, the identified risks were classified using ISM-MICMAC methodology. The research findings demonstrated that natural disaster, environmental, and legal risks were the most substantial. The findings highlight that selected methods are capable of recognising the most substantial risks that are most critical to assess, manage with adequate mitigation actions from the practitioners in the agri-food industry.