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1 – 10 of 372
Article
Publication date: 11 November 2013

Lu Weisheng, Anita M.M. Liu, Wang Hongdi and Wu Zhongbing

The purpose of this paper is to attempt to shed light on procurement innovation by examining two state-of-the-art procurement systems in China – an agent-construction system (ACS…

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Abstract

Purpose

The purpose of this paper is to attempt to shed light on procurement innovation by examining two state-of-the-art procurement systems in China – an agent-construction system (ACS or in Chinese Dai Jian Zhi) and public-private partnership (PPP), with special consideration given to the systems’ particular political, economic, social, technological, environmental, and legal (PESTEL) background.

Design/methodology/approach

The paper does so by using content analyses, semi-structured interviews, and a “PESTEL-Procurement Innovation” framework.

Findings

It is found that PPP has not been as popular as expected, while the ACS, which is little known to the international construction management community, is widespread in China. The study of ACS and PPP further reveals that congruence between a procurement system and its external PESTEL conditions is essential for procurement innovation.

Research limitations/implications

The “PESTEL-Procurement Innovation” framework could be a useful tool for devising procurement innovation; although there are many questions yet to be answered by further research.

Practical implications

The paper provides useful insights into procurement innovation, particularly when governments worldwide are searching for innovative procurement systems to help deliver public projects and services.

Originality/value

The paper possesses originality in that it tackles procurement innovation, an area that is under researched in construction management. It exhorts the re-connection between a procurement system and its external PESTEL conditions for devising bona fide procurement innovations.

Details

Engineering, Construction and Architectural Management, vol. 20 no. 6
Type: Research Article
ISSN: 0969-9988

Keywords

Open Access
Article
Publication date: 22 February 2022

Bodo B. Schlegelmilch, Kirti Sharma and Sambbhav Garg

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Article
Publication date: 27 February 2023

Dhanraj P. Tambuskar, Prashant Jain and Vaibhav S. Narwane

With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big…

Abstract

Purpose

With big data (BD), traditional supply chain is shifting to digital supply chain. This study aims to address the issues and challenges in the way toward the implementation of big data analytics (BDA) in sustainable supply chain management (SSCM).

Design/methodology/approach

The factors that affect the implementation of BDA in SSCM are identified through a widespread literature review. The PESTEL framework is used for this purpose as it covers all the political, economic, social, technological, environmental and legal factors. These factors are then finalized by means of experts' opinion and analyzed using structural equation modeling (SEM).

Findings

A total of 10 factors are finalized with 31 sub-factors, of which sustainable performance, competitive advantage, stakeholders' involvement and capabilities, lean and green practices and improvement in environmental performance are found to be the critical factors for the implementation of BDA in SSCM.

Research limitations/implications

This research has taken up the case of Indian manufacturing industry. It can be diversified to other geographical areas and industry sectors. Further, the quantitative analysis may be undertaken with structured or semi-structured interviews for validation of the proposed model.

Practical implications

This research provides an insight to managers regarding the implementation of BDA in SSCM by identifying and examining the influencing factors. The results may be useful for managers for the implementation of BDA and budget allocation for BDA project.

Social implications

The result includes green practices and environmental performance as critical factors for the implementation of BDA in SSCM. Thus the research establishes a positive relationship between BDA and sustainable manufacturing that ultimately benefits the environment and society.

Originality/value

This research addresses the challenges in the implementation of BDA in SSCM in Indian manufacturing sector, where such application is at its nascent stage. The use of PESTEL framework for identifying and categorizing the factors makes the study more worthwhile, as it covers full spectrum of the various factors that affect the strategic business decisions.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 10 November 2022

Kumar Srinivasan, Vineet Kumar Yadav, Anish Kumar, Balaganesh Margabandu, Janish Selvaraj and Anshu Kumar

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…

Abstract

Purpose

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.

Design/methodology/approach

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).

Findings

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.

Practical implications

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.

Originality/value

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.

Details

International Journal of Lean Six Sigma, vol. 14 no. 5
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 18 April 2022

Prashant Jain, Dhanraj P. Tambuskar and Vaibhav Narwane

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

Keywords

Book part
Publication date: 16 February 2024

Maria Palazzo

Adapting to external and internal transformations is a difficult task that managers and scholars must face while attempting to keep their organisations alive and well-established…

Abstract

Adapting to external and internal transformations is a difficult task that managers and scholars must face while attempting to keep their organisations alive and well-established. This chapter explores the various decision-making tools that can assist practitioners and scholars to improve their understanding of the external scenario to determine the contemporary appropriateness of these approaches for analysing the environment and their implications for various types of organisations. The chapter investigates the barriers and drivers of these methods and proposes existing alternative paradigms created by academics and practitioners to analyse and comprehend the context. It demonstrates how these decision-making tools can be implemented by providing examples and case studies.

Details

Rethinking Decision-Making Strategies and Tools: Emerging Research and Opportunities
Type: Book
ISBN: 978-1-83797-205-0

Keywords

Article
Publication date: 28 February 2023

Mohammad Javad Porkar, Mehdi Khakzand and Nima Mardanlou

The adaptability of multi-functional industrial buildings can be an important factor in their reuse. This utility requires the evaluation of factors that are effective apart from…

Abstract

Purpose

The adaptability of multi-functional industrial buildings can be an important factor in their reuse. This utility requires the evaluation of factors that are effective apart from physical interventions. Therefore, this study used a combined method to investigate the factors affecting the reuse of the case studies of Iran and their adaptation to the theories proposed in the field of industrial heritage. This study aims to achieve effective strategies in adaptive reuse of industrial heritage buildings.

Design/methodology/approach

Hence, six factors in the economic, social, technological, environmental and legal sectors were analyzed based on PESTEL analysis and the interactions of the proposed matrix factors were evaluated. The results from this evaluation were integrated based on conceptual similarities and examined by SWOT technique as the main factors. Finally the criteria obtained from SWOT analysis has been approved by a Delphi survey.

Findings

Consequently, the interaction of the findings to determine the strategy was multiplied in a matrix and the resulting concepts were identified. Finally, 23 strategies were extracted as the factors affecting the reuse of industrial heritage buildings and dealing with future issues. According to the results, the most important strategies are government policies and interventions. Also, the determination of the status of ownership, supervision by the Ministry of Cultural Heritage over the preservation and revitalization of industrial heritage buildings and intervention policies for defining the uses related to an industrial building fall into this category.

Originality/value

The findings of this study indicate that an adaptive view of the above strategies and the indicators of each factor could affect the adaptive reuse of the industrial heritage.

Details

International Journal of Building Pathology and Adaptation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-4708

Keywords

Article
Publication date: 27 October 2020

Binashi Kumarasiri and Piumi Dissanayake

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…

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Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Originality/value

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.

Details

Built Environment Project and Asset Management, vol. 11 no. 4
Type: Research Article
ISSN: 2044-124X

Keywords

Book part
Publication date: 16 February 2024

Maria Palazzo

The globalisation of markets, emerging concepts of sustainable development, and circular economy have defined the boundaries within which organisations must compete and address…

Abstract

The globalisation of markets, emerging concepts of sustainable development, and circular economy have defined the boundaries within which organisations must compete and address the needs of key stakeholders. As circumstances change, boundaries are often replaced by the relationships between companies and the communities they serve. Consequently, strategy has become a central aspect of sustainable leadership and the foundation for implementing strategic management in a dynamic system of relationships. Every company is born and grows within social and economic ecosystems. Drawing on the metaphor of biology, ecosystems are described as dynamic interconnections among various elements that influence and foster entrepreneurship. Interconnections between players (such as marketplaces, organisations, governments, and universities) create a flow of expertise, abilities, knowledge, experience, and tangible resources. Economic and social ecosystems involve various actors and components that continuously coexist and interact, leading to the creation of numerous mutual relationships. Consequently, it is crucial for managers to gain a comprehensive understanding of the internal and external environments. Various decision-making tools and strategies can be used to achieve this goal. These tools were developed to assist managers, researchers, and consultants in making informed decisions under complex scenarios. This chapter presents several decision-making strategies and tools, including the Boston Consulting Group (BCG) matrix, General Electric (GE) matrix, Balanced Scorecard (BSC), PEST, PESTEL analysis, and SWOT analysis.

Details

Rethinking Decision-Making Strategies and Tools: Emerging Research and Opportunities
Type: Book
ISBN: 978-1-83797-205-0

Keywords

Article
Publication date: 22 August 2022

Bashir Tijani, Xiao-Hua Jin and Robert Osei-Kyei

Architectural, engineering and construction (AEC) project organizations are under constant pressure to improve the mental health of project management practitioners (PMPs) due to…

Abstract

Purpose

Architectural, engineering and construction (AEC) project organizations are under constant pressure to improve the mental health of project management practitioners (PMPs) due to complexity and dynamism involved in project management practices. Drawing on institutional theory, this research explores how external environmental factors, political factors, economic factors, social factors, technological factors, environmental factors and legal factors (PESTEL), influence mental health management indicators that contribute to positive mental health.

Design/methodology/approach

Purposive sampling method was used to collect survey data from 82 PMPs in 60 AEC firms in Australia. Structural equation modelling was used to test the hypotheses based on 82 items of data collected from PMPs.

Findings

Overall, this study revealed interesting findings on the impact of external environmental factors on mental health. The hypothesized positive association between political factors and mental health management indicators was rejected. The data supported the proposed hypothetical correlation between economic factors and mental health management indicators and the influence of social factors on mental health management indicators. Moreover, a hypothetical relationship between technological factors and mental health management indicators was supported. The significant positive impact of environmental factors on mental health management indicators proposed was supported, and legal factors’ positive correlation on mental health management indicators was also supported.

Originality/value

Despite the limitations, the present findings suggest that all the external environment factors except political factors shape mental health management outcomes.

Details

Smart and Sustainable Built Environment, vol. 12 no. 5
Type: Research Article
ISSN: 2046-6099

Keywords

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