bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of supply chain resilience index: a graph theory based approach
Authors: Agarwal Nishtha , Seth Nitin , Agarwal Ashish 
Published: June 2021

PurposeThe present study aims at developing a model to quantify supply chain resilience as a single numerical value. The numerical value is called resilience index that measures the resilience capability of the case company's supply chain. The model calculates the index value based on the interactions between the enablers of supply chain resilience and its dimensions.Design/methodology/approachGraph theoretic approach (GTA) is used to evaluate the resilience index for the case company's supply chain. In GTA, the dimensions of resilience enablers and their interdependencies are modelled through a digraph. The digraph depicting the influence of each dimension is converted into an adjacency matrix. The permanent function value of the adjacency matrix is called the resilience index (RI).FindingsThe proposed approach has been illustrated in context of an Indian automobile organization, and value of the RI is evaluated. The best case and the worst-case values are also obtained with the help of GTA. It is noted from the model that strategic level dimension of enablers is most important in contributing towards supply chain resilience. They are followed by tactical and operational level enablers. The GTA framework proposed will help supply chain practitioners to evaluate and benchmark the supply chain resilience of their respective organizations with the best in the industry.Originality/valueA firm can compare the RI of its own supply chain with other's supply chain or with the best in the industry for benchmarking purpose. Benchmarking of resilience will help organizations in developing strategies to compete in dynamic market scenario.
Application of stacking ensemble machine learning algorithm in predicting the cost of highway construction projects
Authors: Meharie Meseret Getnet , Mengesha Wubshet Jekale , Gariy Zachary Abiero , Mutuku Raphael N.N. 
Published: June 2021

PurposeThe purpose of this study to apply stacking ensemble machine learning algorithm for predicting the cost of highway construction projects.Design/methodology/approachThe proposed stacking ensemble model was developed by combining three distinct base predictive models automatically and optimally: linear regression, support vector machine and artificial neural network models using gradient boosting algorithm as meta-regressor.FindingsThe findings reveal that the proposed model predicted the final project cost with a very small prediction error value. This implies that the difference between predicted and actual cost was quite small. A comparison of the results of the models revealed that in all performance metrics, the stacking ensemble model outperforms the sole ones. The stacking ensemble cost model produces 86.8, 87.8 and 5.6 percent more accurate results than linear regression, vector machine support, and neural network models, respectively, based on the root mean square error values.Research limitations/implicationsThe study shows how stacking ensemble machine learning algorithm applies to predict the cost of construction projects. The estimators or practitioners can use the new model as an effectual and reliable tool for predicting the cost of Ethiopian highway construction projects at the preliminary stage.Originality/valueThe study provides insight into the machine learning algorithm application in forecasting the cost of future highway construction projects in Ethiopia.
Kaya FM: the challenge of an afropolitan positioning
Authors: Quaye Emmanuel Silva , Saini Yvonne 
Published: June 2021

Learning outcomes
Amongst other things, at the end of this case discussion, the student should be able to: diagnose situational factors that contribute to a brand’s positioning; explore important issues in implementing brand positioning strategies; use relevant models for understanding a firm’s internal and external environments to inform strategic decisions about customers and competition; demonstrate an understanding of target audience; identify the unique attributes of the competition to inform a firm’s positioning and competitive strategy.

Case overview/synopsis
Kaya FM derives its name from the isiZulu word “ikhaya”, which means “home”. The name reflects the mission of the radio station to provide a home for black South Africans who were denied many opportunities during the apartheid era in South Africa. Kaya FM has been broadcasting since 1997, following the deregulation of the media landscape in South Africa. However, by 2018, the radio landscape has become very challenging. Mainstream advertisers still do not consider Kaya FM as a preferred channel to reach their target audience. Overall, radio listenership is dwindling and advertising sales growth is not encouraging. Greg Maloka, Kaya FM’s station manager is considering how to preserve the station’s unique positioning as it competes with both more dominant stations and new entrants so that Kaya FM can truly be a home for Afropolitans for many years to come.

Complexity academic level
Honour’s and master’s level, as well as executive education delegates.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 8: Marketing.
Washup: aspiring to empower Pakistan’s informal workers
Authors: Fareed Muhammad , Taimoor Sadaf 
Published: June 2021

Learning outcomes
Learn the application of important strategy frameworks such as PESTLE, SWOT and Porter’s five forces. Understand the theoretical underpinnings of services marketing and learn the art of developing service blueprints. Critically evaluate the use of change management strategies to induce behavioral change among employees. Appreciate the balance that social enterprises need to achieve between their commercial and social impact goals. Critically evaluate the decision of outsourcing core competencies.

Case overview/synopsis
In 2019, Abbas Jaffery and Sumair Saleem, founders of Washup, Pakistan, a young venture providing on-demand, high-quality and cost-effective laundry service faced a critical management dilemma as their supply chain collapsed due to a rampant surge in demand. The demand surge had been the outcome of Washup’s effort to push its services to the customers by getting vetted by a social media influencer. However, the duo was caught off guard when their supply chain could not meet the sudden increase in demand. The hesitant behavior of the informal workers to join hands with Washup had not only cost Washup this management nightmare but even left the duo at wits ends to develop a strategy that would help gain business idea acceptance from the grass root workers to whom the core competencies of washing and ironing were being outsourced. This case is a rich description of the nuances of operating an unconventional social enterprise in an emerging market and gives an insight on how behavioral change among key workers is critical in ensuring the success of ventures.

Complexity academic level
This case is geared toward undergraduate students enrolled in courses of entrepreneurship, strategy and services marketing.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 11: Strategy.
A multilevel perspective on the perceived effects of COVID-19 on nurses in China
Authors: Sun Mengyao , Hennekam Sophie 
Published: June 2021

PurposeThis study examines the effects of COVID-19 on individual, organizational and societal level as perceived by nurses in China.Design/methodology/approachWe draw on two qualitative studies consisting of 483 qualitative surveys and 28 in-depth interviews with nurses in China.FindingsThe pandemic has enhanced the profile of the nursing profession in Chinese society and has led to an increase in recognition, respect and visibility of nurses. In addition, participants point to an improved workplace culture in which there is a strong sense of pride in the collective effort they put. Simultaneously, however, nurses reported how COVID-19 was perceived to be detrimental to their own psychological well-being, while also interfering with their work–life balance.Originality/valueThe data reveal the paradoxal effects of COVID-19 on nurses in China. On societal and organizational level, the pandemic seems to have had a positive effect, while on individual level a range of perceived negative effects is identified.
Emotional intelligence and job performance in the hospitality industry: a meta-analytic review
Authors: Miao Chao , Humphrey Ronald H. , Qian Shanshan 
Published: June 2021

Purpose
Hospitality workers are emotional labor workers because they must display appropriate emotions to their customers to provide outstanding service. Emotional intelligence (EI) helps employees regulate their emotions and display appropriate emotions, and hence should help hospitality workers provide outstanding service. However, the strength of the relationship between EI and hospitality workers’ job performance substantially varied across studies. Hence, the purpose of the present study is to clarify the mixed findings and to examine if EI can improve hospitality workers’ job performance.

Design/methodology/approach
A meta-analysis was performed to investigate the relationship between EI and hospitality workers’ job performance as well as the moderators which condition this relationship.

Findings
The present meta-analysis indicated that EI is positively related to hospitality workers’ job performance (ρ̅̂ = 0.54); the relationship between EI and hospitality workers’ job performance is stronger when the percentage of married subjects is low and in feminine cultures; and this relationship does not differ between male-dominated and female-dominated studies, across educational levels, between collectivistic and individualistic cultures, between low and high power distance cultures and between low and high uncertainty avoidance cultures.

Research limitations/implications
This study uncovers theoretically important moderators that contribute to cross-cultural research, work–family literature and gender-related literature in hospitality research.

Originality/value
The present study builds a theoretical foundation and performs a meta-analysis to elucidate the relationship between EI and hospitality workers’ job performance and to identify the moderators which condition this relationship.
Collaborative risk management in decentralised multi-tier global food supply chains: an exploratory study
Authors: Cao Shoufeng , Bryceson Kim , Hine Damian 
Published: June 2021

PurposeThe aim of this paper is to explore the value of collaborative risk management in a decentralised multi-tier global fresh produce supply chain.Design/methodology/approachThis study utilised a mixed methods approach. A qualitative field study was conducted to examine the need for collaborative risk management. The simulation experiments with industry datasets were conducted to assess whether risk-sharing contracts work in mitigating joint risks in parts of and across the supply chain.FindingsThe qualitative field study revealed risk propagation and the inefficiency of company-specific risk management strategies in value delivery. The simulation results indicated that risk-sharing contracts can incentivise various actors to absorb interrelated risks for value creation.Research limitations/implicationsThe research is limited to risks relevant to supply chain processes in the Australia–China table grrape supply chain and does not consider product-related risks and the risk-taking behaviours of supply chain actors.Practical implicationsCollaborative risk management can be deployed to mitigate systematic risks that disrupt global fresh produce supply chains. The results offer evidence-based knowledge to supply chain professionals in understanding the value of collaborative risk assessment and management and provide insights on how to conduct collaborative risk management for effective risk management.Originality/valueThe results contribute to the supply chain risk management literature by new collaborative forms for effective risk management and strategic competition of “supply chain to supply chain” in multi-tier food supply chains.
A performance measurement system for public–private partnerships: integrating stakeholder influence and process trans-period effect
Authors: Wang Dan , Wang Xueqing , Wang Lu , Liu Henry J. , Jia Xiajie 
Published: June 2021

PurposeThe purpose of this study is for examining the evolution of stakeholder influence and the trans-period effect (TPE) of process performance of public–private partnerships (PPPs). TPE refers to the ripple effect of project performance across different phases of a PPP.Design/methodology/approachSocial network analysis is used to analyze each stakeholder’s influence on PPP performance. For examining the TPE, partial least squares structural equation modelling is conducted.FindingsThe performance in the five phases (e.g. initiation and planning, procurement, construction, operation and transition) of PPPs exhibits significant TPE. The stakeholder network varies in different phases. The most influential stakeholder is a public authority, followed by a public initiator and a private consortium.Research limitations/implicationsThe project type of PPPs is not considered in the stakeholder network analysis. Future work should focus on developing a multidimensional stakeholder network by considering the typology of the project. Moreover, the TPE cannot reflect the relationships between the KPIs in the different phases, and thus, further study is required.Practical implicationsThis research provides a useful tool for measuring the life cycle outputs and outcomes of PPPs through enhanced process-oriented performance measurement. The developed PMS enable practitioners to have a better understanding of the process performance of the projects and then ensure informed decision-making about actions to be required and taken to improve future performance.Originality/valueThis study contributes to knowledge of performance management by simultaneously addressing the process and stakeholder management theories within the context of PPPs. The proposed PMS provides an insight into managing stakeholders’ influences to enhance the life cycle performance of PPPs.
Constraints and limitations of concrete 3D printing in architecture
Authors: Ko Chien-Ho 
Published: June 2021

Purpose
Additive manufacturing of concrete (AMoC) is an emerging technology for constructing buildings. However, due to the nature of the concrete property and constructing buildings in layers, constraints and limitations are encountered while applying AMoC in architecture. This paper aims to analyze the constraints and limitations that may be encountered while using AMoC in architecture.

Design/methodology/approach
A descriptive research approach is used to conduct this study. First, basic notions of AMoC are introduced. Then, challenges of AMoC, including hardware, material property, control and design, are addressed. Finally, strategies that may be used to overcome the challenges are discussed.

Findings
Factors influencing the success of AMoC include hardware, material, control methods, manufacturing process and design. Considering these issues in the early design phase is crucial to achieving a successful computer-aided design (CAD)/computer-aided manufacturing (CAM) integration to bring CAD and CAM benefits into the architecture industry.

Originality/value
In three-dimensional (3D) printing, objects are constructed layer by layer. Printing results are thus affected by the additive method (such as toolpath) and material properties (such as tensile strength and slump). Although previous studies attempt to improve AMoC, most of them focus on the manufacturing process. However, a successful application of AMoC in architecture needs to consider the possible constraints and limitations of concrete 3D printing. So far, research on the potential challenges of applying AMoC in architecture from a building lifecycle perspective is still limited. The study results of this study could be used to improve design and construction while applying AMoC in architecture.
Corporate governance and investment efficiency in Indonesia: the moderating role of industry competition
Authors: Bimo Irenius Dwinanto , Silalahi Engelbertha Evrantine , Kusumadewi Ni Luh Gde Lydia 
Published: June 2021

Purpose
This study aims to analyse the effect of corporate governance on investment efficiency and the moderating impact of industry competition on the relationship between corporate governance and investment efficiency.

Design/methodology/approach
The research sample includes a total of 36 publicly listed companies assessed by the Indonesian Institute for Corporate Directorship from 2012 to 2018. Testing is performed on full sample and overinvestment and underinvestment subsamples. Additional testing is further carried out using the generalized method of moments to address endogeneity problems and a robustness test is performed to assess the estimated investment efficiency.

Findings
Corporate governance can increase investment efficiency and the effectiveness of corporate governance is found to drop when the level of industry competition is higher.

Practical implications
The results of the present study corroborate the suggestion that companies need to implement corporate governance mechanisms. Furthermore, designing a corporate governance mechanism requires the scrutiny of the external environment, including industry competition.

Originality/value
The present study adds the profitability factor in the calculation of investment efficiency levels. This study also considers external factors that can influence the effectiveness of corporate governance in determining investment efficiency.
Effect of an online psychological support group on patients with COVID-19 in a Thai field hospital: a real world study
Authors: Lerthattasilp Tiraya , Kosulwit Lampu , Phanasathit Muthita , Nuallaong Winitra , Tapanadechopone Pairath , Thanetnit Chommakorn , Charernboon Thammanard 
Published: June 2021

PurposeThe purpose of this study is to evaluate the effectiveness of an online psychological support group on patients with coronavirus disease 2019 (COVID-19) in a Thai field hospital.Design/methodology/approachA prospective controlled trial was conducted at a Thai field hospital and included patients with confirmed COVID-19 who were over the age of 18 and able to use an online communication application. Patients were free to decide whether to participate in the online group. The group provided a space for participants to communicate with each other and a mental health service team. The everyday activities were designed to enable group support via texting or livestreaming through the LINE application. Psychoeducation via video clips or articles regarding stress management were provided. Outcomes were measured by an online self-reported questionnaire based on the twenty-one-item Depression, Anxiety and Stress Scale (DASS-21) on the first and fourteenth day of admission to the field hospital.FindingsForty-six patients participated in this study. Forty participants completed the secondary assessment, with 21 in the intervention group and 19 in the control group. From multilevel mixed-effects regression analysis, adjusted for gender, age and education, participation in the intervention group significantly decreased total DASS scores and anxiety subdomain scores compared to those in the control group (p = 0.038 and 0.008).Originality/valueThe online psychological support group offered benefits for patients with COVID-19 who were isolated in the field hospital. It could be an effective alternative measure to distribute psychological care during a pandemic situation. However, a small sample size was a limitation of this study.
Early marriage and spousal age difference: predictors of preconception health of young married women in Delhi, India
Authors: Sharma Shantanu , Akhtar Faiyaz , Singh Rajesh Kumar , Mehra Sunil 
Published: June 2021

PurposeThis study aims to assess the associations of early marriage and spousal age difference (independent of early marriage) with reproductive and sexual health and autonomy in decision-making among married women before conception.Design/methodology/approachThe present study was a part of a three-year community intervention to improve the preconception health of young married women (20–35 years) in the West Delhi district of India. The six key outcomes assessed were: knowledge of reproductive health, discussions related to sexual health, history of anemia, use of contraceptives by women, frequency of consumption of meals per day and the autonomy in decision-making for household expenditures. Unadjusted and adjusted logistic regression models were used to explore the associations between the two key predictors (early marriage or spousal age difference), sociodemographic variables and six outcomes. The results were expressed as odds ratio (OR) and 95% confidence interval (CI). A total of 2,324 women, enrolled from four wards in the district using cluster-based sampling, were interviewed.FindingsAround 17% of women were married by the exact age of 18, and 20% were elder or just one year younger than their husbands. Women who were married early had low reproductive health knowledge (OR (95% CI): 0.48 (0.38–0.60)) and a lower probability of expressing autonomy (OR (95% CI): 0.78 (0.62–0.97)). However, women older than men or younger by just one year in the married relationship had higher reproductive health knowledge (OR (95% CI): 1.25 (1.01–1.54)) than women younger than men more than two years.Originality/valueUnder the umbrella of the preconception care domain, frontline workers should emphasize counseling girls and young women to marry late and delay the first pregnancy.