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The advancements in internet technologies and the use of sophisticated digital devices in supply chain operations incessantly generate enormous amounts of data, which is termed as big data (BD). The BD technologies have brought about a paradigm shift in the supply chain decision-making towards profitability and sustainability. The aim of this work is to address the issue of implementation of the big data analytics (BDA) in sustainable supply chain management (SSCM) by identifying the relevant factors and developing a structural model for this purpose.

Through a comprehensive literature review and experts’ opinion, the crucial factors are found using the PESTEL framework, which covers political, economic, social, technological, environmental and legal factors. The structural model is developed based on the results of the total interpretive structural modelling (TISM) procedure and MICMAC analysis.

The policy support regarding IT, culture of data-based decision-making, inappropriate selection of BDA technologies and the laws related to data security and privacy are found to affect most of the other factors. Also, the company’s vision towards environmental performance and willingness for material and energy optimization are found to be crucial for the environmental and social sustainability of the supply chain.

The study is focused on the manufacturing supply chain in emerging economies. It may be extended to other industry sectors and geographical areas. Also, additional factors may be included to make the model more robust.

The proposed model imparts an understanding of the relative importance and interrelationship of factors. This may be useful to managers to assess their strengths and weaknesses and ascertain their priorities in the context of their organization for developing a suitable investment plan.

The study establishes the importance of BDA for conservation and management of energy and material. This is crucial to develop strategies for enhancing eco-efficiency of the supply chain, which in turn enhances the economic returns for the society.

This study addresses the implementation of BDA in SSCM in the context of emerging economies. It uses the PESTEL framework for identifying the factors, which is a comprehensive framework for strategic planning and decision-making. This study makes use of the TISM methodology for model development and deliberates on the social and environmental implications too, apart from theoretical and managerial implications.

This paper aims to investigate two seminal market-scanning frameworks – the five-forces analysis and PESTEL environmental scanning tool – to assess their readiness for anticipating market-shaping acts.

Drawing on the market-shaping literature that conceptualizes markets as complex adaptive systems, this conceptual paper interrogates the underlying assumptions and “blind spots” in two seminal market-scanning frameworks. The paper showcases three illustrative vignettes in which non-industry actors catalyzed market change in ways that these market-scanning frameworks would not be able to anticipate.

Marketing strategists can be “blindsided” as seminal market-scanning frameworks have either too narrow an interpretation of market change or are too broad to anticipate specific types of market-shaping acts. The assumptions about markets that underpin these market-scanning frameworks contribute to incumbents being slow to realize market-shaping acts are taking place.

The authors extend market-scanning to include a type of managerial myopia that fails to register the socially embedded, systemic nature of complex contemporary markets. Furthermore, the paper provides an “actors-agendas-outcomes” scanning framework that offers awareness of market-shaping acts.

This paper is the first to consider market-scanning frameworks from a market-shaping perspective.

In considering the ubiquity of information systems (ISs) and the increasingly important role served in modern business and service delivery, social media if properly leveraged gives potential competitive advantage to a company in its respective industry. With Paramount Web Nigeria Ltd. as a case study, this paper aims to focus on the important aspects of adopting social media as an IS such as data privacy principles and the role of social media in the context of a small internet service company.

Relevant research information was relied upon to highlight the various factors involved with adopting social media as an IS.

Data handling and privacy policies must also be considered and properly devised if the concerned company is to effectively adopt social media as an IS. Decision-making tools such as SWOT analysis and the quality triangle are vital during the planning stages of deploying an IS.

Research papers on aspects of social media as an IS especially in West African academia has been lacking. The challenge is in contextual information related to similar topics.

Findings detailed in this paper will serve to provide a better understanding of the important factors to be considered when adapting a new IS to an existing business.

This paper serves to highlight the potential factors to be considered when dealing with business ISs with a strong focus on social media and internet related services.

The purpose of this paper is to implement the strategies selection process in a proposed formulated mathematical framework to prioritize selected strategies with the interaction of other groups of strategies, known as the strategies interaction model (SIM).

SWOT analysis is a popular useful strategic planning tool, which analyzes organizations internal and external factors. The traditional SWOT procedure lists internal and external factors and derives four groups of strategies based on the organization’s strategic position. SWOT is easy to use as a business analyzing tool, while it is not competent enough for strategic formulation. With the emergence of the economy’s vicissitudes, undulations in the markets and multiple changes, and various variables in the industrial competitive environment, selection of the organization strategies confront uncertainty in decision making. The SIM framework presents a solution to select alternative strategies for organizations in unpredictable situations.

The findings show that SIM is a reliable approach to evaluate, select and rank organization’ strategies. SIM proposes alternative strategies due to the uncertainty of the organization’ environment with respect to the four strategic positions. The SIM’ proposed ranking process is in accordance with the highest impact of each strategy on each other. Furthermore, it possesses advantages of AHP, ANP and other applied multiple criteria decision-making (MCDM) techniques in SWOT analysis.

In this paper SIM is applied within a dairy company located in the north of Iran.

SIM has the advantages of the classic SWOT and fills the gaps of MCDM methods application in the SWOT analysis. Moreover, it provides a formulated algorithm for the organizations to face the uncertainty of the environment. SIM philosophy can be widely used in the decision and managerial implications.

In this paper universities are considered to be central to a knowledge‐driven economy. UK employers value generic skills more highly in employees where disciplinary‐based understanding is assumed to be on a par. Enterprise education should, therefore, not only benefit students, but add greatly to wealth creation and national prosperity. In order to respond, universities need to formulate a coherent policy that will initiate a cultural change to foster enterprise and entrepreneurship. In order to address the question of whether and how such organisations can change, this paper aims to take a close look at influencing factors like culture and structure.

The analysis in this paper utilises tools and techniques that help to identify those factors that shape an organisation's strategy and structure. This paper takes a close look at the organisational structure and culture at a leading research‐led UK university, with respect to enterprise education. An insight for strategic development is achieved by recognising the university as a professional bureaucracy, relying on the balance between the standardisation of skills and training, rather than through a more general analysis of a “large organisation”.

The paper finds that in this professional bureaucracy, the operating core comprises professionals with considerable autonomy, but close association with their clients (students). Coordination between professionals takes place through the standardisation of skills and knowledge and the provision of enterprise education requires an appropriate standardisation of skills. A strong culture pervades throughout, and complex organisational structures and models of governance exist. This paper suggests that sweeping, major reforms are inappropriate.

The paper shows that this university has chosen to embrace educational changes that lead to enterprising student attributes by a process of “seeping change” in the context of a professional bureaucracy attending to the challenge of standardising skills.

The purpose of this paper is to enhance decision-making process for the procurement of facilities management (FM) services within aviation corporate organisation, where the FM services functions to support the business operation. It builds on considering the fundamental elements comprising the FM procurement process from the aviation perspective.

The paper investigates the characteristics of the different types of sourcing approaches and the underpinning factors affecting its selection for the procurement of FM services within the aviation industry. The decision-making framework for the procurement of FM services is developed based on the qualitative case study by interview and focus group discussion with the custodian department that is directly involved in the procurement of FM services.

The degree of outsourcing is increasing due to corporate organisation’s persona. Procurement of FM services is a complex process required detailed review, efforts and time in choosing the right sourcing approach. Off the shelf guidelines for the procurement of FM services suits property professional which directly involved with the procurement of FM services. However, decision-making process for the procurement of FM services specifically for aeronautical and non-aeronautical corporate organisation are rarely found. The case study findings signify that the respondents are familiar with the in-sourcing, outsourcing and right sourcing approaches. The underpinning factors affecting sourcing approaches were categorised according to the main reasons for the procurement of FM services, considerable factors during the procurement stage and value-adding criteria. The use of strategic management tools is not widely imposed, and intelligent client guideline is not available. Hence, the decision-making framework has been developed to fill the gap in this study.

The research is based on a study of aviation or airline corporate organisation, which limits the possibility of holistic view to the FM industry as a whole but highlights the research gap of FM procurement which is scarce within the case study of airline companies. The focus area is also bounded within the procurement of FM services designated for the office buildings.

The paper provides initial guideline for the airline company in sourcing the procurement of FM services that were developed based on established guidelines from accrediting bodies and scholars, as well as from the sampling feedback analysis. It is also among the firsts that examine the procurement of FM services in the context of aviation or airline industry. The outcome of this paper is a decision-making framework for the procurement of FM services that is specially designed for the airlines corporate organisations, which fills the gap that exists in the industry.

This paper aims to illustrate the scope and challenges of using computer-aided content analysis in international marketing with the aim to capture consumer sentiments about COVID-19 from multi-lingual tweets.

The study is based on some 35 million original COVID-19-related tweets. The study methodology illustrates the use of supervised machine learning and artificial neural network techniques to conduct extensive information extraction.

The authors identified more than two million tweets from six countries and categorized them into PESTEL (i.e. Political, Economic, Social, Technological, Environmental and Legal) dimensions. The extracted consumer sentiments and associated emotions show substantial differences across countries. Our analyses highlight opportunities and challenges inherent in using multi-lingual online sentiment analysis in international marketing. Based on these insights, several future research directions are proposed.

First, the authors contribute to methodology development in international marketing by providing a “use-case” for computer-aided text mining in a multi-lingual context. Second, the authors add to the knowledge on differences in COVID-19-related consumer sentiments in different countries. Third, the authors provide avenues for future research on the analysis of unstructured multi-media posts.

This paper aims to assist managers and food supply chain practitioners in efficiently implementing lean and green (LG) practices for sustainability. Examining barriers to LG practices, as well as prioritizing mitigation strategies in the food supply chain, are all part of this work.

Using a combination of literature review and expert team inputs, this paper investigated the LG barriers and their solutions under PESTEL (Political, Economic, Social, Technological, Environmental and Legal) framework. To prioritize them, this work used the fuzzy best worst method (fuzzy BWM) with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS).

From the fuzzy BWM, the economic barriers were identified as the most significant. From the FTOPSIS approach, top management expertise and commitment to adopting LG practices were identified as the best solution for overcoming the barriers.

This paper discusses the barriers and solutions for successfully implementing LG techniques from the real-time food supply chain. The practitioners and food chain managers welcomed the methodology for its use in prioritizing the barriers to LG practices. Conclusions drawn from this work were found to be realistic.

The original contribution of this study is to present the model framework for barriers and solutions of LG practices in the dairy supply chain using the hybrid MCDM technique.

It is no surprise that garbage is not garbage for some. It is money. This is why garbage has been overestimated to a point that money allocated for waste-to-energy (WtE) projects feed individual pockets. Many countries have already adapted WtE as a successful solution for both energy and waste crisis. Although in Sri Lanka six WtE projects were promised, the government abruptly decided that it would not have any more projects other than the two plants that were under construction. The purpose of this paper is to analyse barriers to the implementation of WtE projects in Sri Lanka.

An exploratory case study was selected as the research strategy to achieve the research aim. In total, two WtE megaprojects, which have been initiated implementation in Sri Lanka, were used as cases. A total of 12 semi-structured interviews with four personnel from each case and four government officials were used as the data collection technique. Data analysis was carried out using code-based content analysis. The barriers were extracted through analysis of case findings using an abductive analysis. The strategies to mitigate identified barriers were formulated based on attributes highlighted through case study findings and further validated through the opinions of three experts.

Barriers were analysed using the PESTEL framework to get ample insight into barriers that impact on the implementation of WtE projects in Sri Lanka. Less support from the government due to their less awareness on WtE, high investment and operational cost, lack of expert knowledge on WtE technologies in Sri Lanka, absence of a proper regulatory framework for implementation WtE technologies, lengthy process and delay in getting approvals from government process, poor attitudes of public and their protests due to the less awareness on WtE are the foremost barriers identified in this study. Further, strategies were proposed based on the empirical research findings to overcome barriers to facilitate the successful implementation of WtE projects in Sri Lanka.

So far only two WtE megaprojects have been initiated the implementation in Sri Lanka. Therefore, the scope of the study was limited only to those projects. Moreover, the type of waste considered in this study is municipal solid waste (MSW), which has become a bigger problem in Sri Lanka.

The current study unveils an analysis of barriers for implementation of WtE projects in Sri Lanka, including strategies for mitigating identified barriers. The findings would enable relevant stakeholders, i.e. policymakers, industry practitioners, investors, government bodies and researchers to make informed decisions on implementation of WtE projects and thereby promote successful implementation of WtE projects in Sri Lanka.