Search results
1 – 10 of 148Dominik Hüttemann, Tobias Marc Härtel and Julia Müller
The COVID-19 pandemic has amplified the importance of effectively leading a remote workforce in volatile, uncertain, complex and ambiguous (VUCA) environments. This study examines…
Abstract
Purpose
The COVID-19 pandemic has amplified the importance of effectively leading a remote workforce in volatile, uncertain, complex and ambiguous (VUCA) environments. This study examines the effectiveness of transformational–transactional leadership (Full-Range Leadership Model, FRLM) and its recent extension of instrumental leadership (eFRLM) in remote work contexts.
Design/methodology/approach
We surveyed 529 remote working followers, providing perceptions on (1) their leaders’ manifestation of eFRLM dimensions and factors, (2) their leaders’ leadership effectiveness and (3) their organizational environment as VUCA.
Findings
Results show that instrumental leadership represents a strongly effective leadership dimension in remote work contexts, explaining unique variance beyond transformational–transactional leadership. Moreover, VUCA environments moderated the association between eFRLM leadership behaviors and leadership effectiveness, with instrumental leadership being particularly effective in more pronounced VUCA environments and transformational–transactional leadership being less effective.
Originality/value
Overall, instrumental leadership appears crucial to consider when predicting leadership effectiveness in virtual and uncertain contexts.
Details
Keywords
Alireza Moghayedi, Kathy Michell and Bankole Osita Awuzie
Facilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of…
Abstract
Purpose
Facilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of digital technologies by FM organizations, there exists a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges.
Design/methodology/approach
This study focuses on South Africa, a developing nation grappling with climate change’s ramifications on its infrastructure. Through a combination of systematic literature review and an online questionnaire survey, data was collected from representatives of 85 professionally registered FM organizations in South Africa. Analysis methods employed include content analysis, Relative Importance Index (RII), and Total Interpretative Structural Modeling (TISM).
Findings
The findings reveal that regulatory compliance and a responsible supply chain serve as critical drivers for AI adoption among South African FM organizations. Conversely, policy constraints and South Africa’s energy crisis emerge as major barriers to AI adoption in combating climate change challenges within the FM sector.
Originality/value
This study contributes to existing knowledge by bridging the gap in understanding how AI technologies are utilized by FM organizations to address climate challenges, particularly in the context of a developing nation like South Africa. The research findings aim to inform policymakers on fostering a conducive environment for FM organizations to harness AI in fostering climate resilience in built assets.
Details
Keywords
Xingmin Liu, Tongsheng Zhu, Yutong Xue, Ziqiang Huang and Yun Le
Carbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon…
Abstract
Purpose
Carbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management.
Design/methodology/approach
A decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established.
Findings
Various factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority.
Originality/value
Despite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources.
Details
Keywords
According to the efficient market hypothesis, a company's advertising expenditures are fully reflected in its stock price. If so, then future abnormal stock returns should not be…
Abstract
According to the efficient market hypothesis, a company's advertising expenditures are fully reflected in its stock price. If so, then future abnormal stock returns should not be correlated to advertising spending. Nonetheless, this chapter explores the impact of advertising spending on the abnormal stock returns using portfolio sort based on both the advertising intensity and change in advertising intensity. Using data from 2000 to 2019, the results suggest that larger advertising intensity is coupled with negative abnormal stock returns in India. The study suggests that market is penalizing the firms for spending more on advertising. Hence, it suggests that advertising budgets should be allocated with caution by marketing managers.
Details
Keywords
Panos Vostanis, Sajida Hassan, Syeda Zeenat Fatima and Michelle O'Reilly
Children in majority world countries (MWC) have high rates of unmet mental health needs, with limited access to specialist resources. Integration of child mental health in…
Abstract
Purpose
Children in majority world countries (MWC) have high rates of unmet mental health needs, with limited access to specialist resources. Integration of child mental health in existing psychosocial care can improve provision. Through a Train-the-Trainer (ToT) cascade approach, this study aimed to provide a framework for such integration in resource-constrained communities in Karachi, Pakistan and to establish hindering and enabling factors.
Design/methodology/approach
Eight practitioners attended a child mental health ToT program, including training on a five-domain service transformation framework. Trainers co-designed and implemented interventions that integrated child mental health knowledge and skills on each domain. These were attended by 136 end-users (youth, parents, teachers, managers), of whom a sub-sample of 47 stakeholders, as well as the trainers, attended focus groups on their experiences. Data were analysed through a thematic codebook.
Findings
Established themes reflected common ingredients across all domains/interventions that were deemed important for child mental health care integration. These included child-centric approaches, positive parenting, community mobilization and systemic changes.
Originality/value
Integrated child mental health care informed by the Train-of-Trainer approach can be a useful model for resource-constrained MWC contexts. Integrated interventions should be co-produced with communities.
Details
Keywords
Kaisu Sahamies and Ari-Veikko Anttiroiko
This article investigates the practical implementation of the ecosystem approach in different branches of public management within an urban context. It explores how ecosystem…
Abstract
Purpose
This article investigates the practical implementation of the ecosystem approach in different branches of public management within an urban context. It explores how ecosystem thinking is introduced, disseminated and applied in a local government organization.
Design/methodology/approach
We utilize a qualitative case study methodology, relying on official documents and expert interviews. Our study focuses on the city of Espoo, Finland, which has actively embraced ecosystem thinking as a fundamental framework for its organizational development for almost a decade.
Findings
The case of Espoo highlights elements that have not been commonly attributed to the ecosystem approach in the public sector. These elements include (1) the significance of complementary services, (2) the existence of both collaborative and competitive relationships among actors in public service ecosystems and (3) the utilization of digital platforms for resource orchestration. Our study also emphasizes the need for an incremental adoption of ecosystem thinking in organizational contexts to enable its successful implementation.
Originality/value
The study provides valuable insights into the introduction and dissemination of ecosystem thinking in public management. It also further develops previously developed hypotheses regarding public service ecosystems.
Details
Keywords
Muhammad Ibnu Rashyid, Mahendra Jaya and Muhammad Akhsin Muflikhun
This paper aims to use hybrid manufacturing (HM) to overcome several drawbacks of material extrusion three-dimensional (3D) printers, such as low dimension ranging from 0.2 to…
Abstract
Purpose
This paper aims to use hybrid manufacturing (HM) to overcome several drawbacks of material extrusion three-dimensional (3D) printers, such as low dimension ranging from 0.2 to 0.5 µm, resulting in a noticeable staircase effect and elevated surface roughness.
Design/methodology/approach
Subtractive manufacturing (SM) through computer numerical control milling is renowned for its precision and superior surface finish. This study integrates additive manufacturing (AM) and SM into a single material extrusion 3D printer platform, creating a HM system. Two sets of specimens, one exclusively printed and the other subjected to both printing and milling, were assessed for dimension accuracy and surface roughness.
Findings
The outcomes were promising, with postmilling accuracy reaching 99.94%. Significant reductions in surface roughness were observed at 90° (93.4% decrease from 15.598 to 1.030 µm), 45° (89% decrease from 26.727 to 2.946 µm) and the face plane (71% decrease from 12.176 to 3.535 µm).
Practical implications
The 3D printer was custom-built based on material extrusion and modified with an additional milling tool on the same gantry. An economic evaluation based on cost-manufacturing demonstrated that constructing this dual-function 3D printer costs less than US$560 in materials, offering valuable insights for researchers looking to replicate a similar machine.
Originality/value
The modified general 3D printer platform offered an easy way to postprocessing without removing the workpiece from the bed. This mechanism can reduce the downtime of changing the machine. The proven increased dimension accuracy and reduced surface roughness value increase the value of 3D-printed specimens.
Details
Keywords
Zezhou Wu, Kaijie Yang, Zhangmin Wu, Hong Xue, Shenghan Li and Maxwell Fordjour Antwi-Afari
Prefabricated construction is an innovative technique for decreasing carbon emissions in the construction industry. However, as the investors of housing projects, a majority of…
Abstract
Purpose
Prefabricated construction is an innovative technique for decreasing carbon emissions in the construction industry. However, as the investors of housing projects, a majority of developers are unwilling to adopt prefabricated housing in practice. To promote prefabricated housing, this study aims to develop an integrated framework of fuzzy-decision making trial and evaluation laboratory (fuzzy-DEMATEL) and system dynamics (SD) to understand the underlying influencing mechanism of developers' willingness.
Design/methodology/approach
Through literature review, a total of 17 influencing factors were identified. Then, the interrelationships among the factors were evaluated by 10 experienced professionals, and the impacts given and received by each factor were further analyzed through fuzzy-DEMATEL. Based on the technology acceptance model (TAM), a SD model was developed to explore the influencing mechanism.
Findings
The major cause factors were identified, including mandatory implementation policies, economic incentive policies, environmental protection policies, component standardization and developers' economic strength. This group of factors was expected to be given priority attention in the case of limited resources. On the other hand, the results indicated that economic incentive policies and mandatory implementation policies could affect the developers' willingness via perceived usefulness, while the others mainly influenced perceived ease of use.
Originality/value
Little research has focused on the interrelationships among the influencing factors of developers' willingness to adopt prefabricated housing. This study contributed to understanding the mechanism of developers' willingness from a systematic view and providing the priority of influencing factors. Several strategies were proposed to improve the practical implementation of prefabricated housing development.
Details
Keywords
Rinu Sathyan, Parthiban Palanisamy, Suresh G. and Navin M.
The automotive industry appears to overcome much of its obstacles, despite the constant struggle facing COVID-19. The pandemic has resulted in significant improvements in the…
Abstract
Purpose
The automotive industry appears to overcome much of its obstacles, despite the constant struggle facing COVID-19. The pandemic has resulted in significant improvements in the habits and conduct of consumers. There is an increased preference for personal mobility. In this dynamic environment with unexpected changes and high market rivalry, automotive supply chains focus more on executing responsive strategies with minimum costs. This paper aims to identify and model the drivers to the responsiveness of automotive supply chain.
Design/methodology/approach
Seventeen drivers for supply chain responsiveness have been identified from the extensive literature, expert interview. An integrated methodology of fuzzy decision-making trial and evaluation laboratory–interpretive structural modelling (DEMATEL–ISM) is developed to establish the interrelationship between the drivers. The cause–effect relationship between the drivers was obtained through fuzzy DEMATEL technique, and a hierarchical structure of the drivers was developed using the ISM technique.
Findings
The result of the integrated methodology revealed that strategic decision-making of management, accurate forecasting of demand, advanced manufacturing system in the organisation and data integration tools are the critical drivers.
Research limitations/implications
This study has conceptual and analytical limitations. In this study, a limited number of drivers are examined for supply chain responsiveness. Further research may examine the role of other key performance indicators in the broad field of responsiveness in the automotive supply chain or other industry sectors. Future study can uncover the interrelationships and relative relevance of indicators using advanced multi-criteria decision-making methodologies.
Originality/value
The authors proposed an integrated methodology that will be benefitted to the supply chain practitioners and automotive manufacturers to develop management strategies to improve responsiveness. This study further helps to compare the responsiveness of the supply chain between various automotive manufacturers.
Details
Keywords
Wenping Xu, Wenwen Du and David G. Proverbs
This study aims to determine the key indicators affecting the resilience of the construction supply chain to flooding and calculate the resilience of the urban construction supply…
Abstract
Purpose
This study aims to determine the key indicators affecting the resilience of the construction supply chain to flooding and calculate the resilience of the urban construction supply chain in three cases city.
Design/methodology/approach
This study combines expert opinions and literature review to determine key indicators and establish a fuzzy EWM-GRA-TOPSIS evaluation model. The index weight was calculated using the entropy weight method, and GRA-TOPSIS was used for comprehensive evaluation.
Findings
The results of the study show that the three cities are ranked from the high to low in order of Hangzhou, Hefei and Zhengzhou.
Originality/value
The innovative method adopted in this study comprising EWM-GRA-TOPSIS reduced the influence of subjectivity, fully extracted and utilized data, in a way that respects objective reality. Further, this approach enabled the absolute and relative level of urban construction supply chain resilience to be identified, allowing improvements in the comprehensiveness of decision-making. The method is relatively simple, reasonable, understandable, and computationally efficient. Within the approach, the entropy weight method was used to assign different index weights, and the GRA-TOPSIS was used to rank the resilience of the construction supply chain in three urban cities. The development of resilience provides a robust decision-making basis and theoretical reference, further enriching research methods, and having strong practical value. The study serves to improve risk awareness and resilience, which in turn helps to reduce losses. It also provides enhanced awareness regarding the future enhancement of supply chain resilience for urban construction.
Details