bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved proportional topology optimization algorithm for minimum volume problem with stress constraints
Authors: Cheng Wenming , Wang Hui , Zhang Min , Du Run 
Published: June 2020

Purpose
The purpose of this paper is to propose an improved proportional topology optimization (IPTO) algorithm for tackling the stress-constrained minimum volume optimization problem, which can meet the requirements that are to get rid of the problems of numerical derivation and sensitivity calculation involved in the process of obtaining sensitivity information and overcome the drawbacks of the original proportional topology optimization (PTO) algorithm.

Design/methodology/approach
The IPTO algorithm is designed by using the new target material volume update scheme and the new density variable update scheme and by introducing the improved density filter (considering the weighting function based on the Gaussian distribution) and Heaviside-type projection operator on the basis of the PTO algorithm. The effectiveness of the IPTO algorithm is demonstrated by solving the stress-constrained minimum volume optimization problems for two numerical examples and being compared with the PTO algorithm.

Findings
The results of this paper show that the uses of the proposed strategies contribute to improving the optimized results and the performance (such as the ability to obtain accurate solutions, robustness and convergence speed) of the IPTO algorithm. Compared with the PTO algorithm, the IPTO algorithm has the advantages of fast convergence speed, enhancing the ability to obtain accurate solutions and improving the optimized results.

Originality/value
This paper achieved the author’s intended purpose and provided a new idea for solving the stress-constrained optimization problem under the premise of avoiding obtaining sensitivity information.
Help me, I can’t afford it! Antecedents and consequence of risky indebtedness behaviour
Authors: Abrantes-Braga Farah Diba M.A. , Veludo-de-Oliveira Tânia 
Published: June 2020

PurposeThis study aims to develop and test a parsimonious theoretical model of risky indebtedness behaviour, a facet of over-indebtedness that refers to the behavioural tendency of often assuming hazardous debt levels.Design/methodology/approachThe authors administered an online survey to credit card owners (n= 1,288) in an emerging economy in which consumer credit is characterized by extremely high interest rates (i.e. Brazil). The authors used covariance-based structural equation modelling to analyse the data and test for mediation effects.FindingsIndividuals who inadvertently consider their credit limits a part of their current income or are typically anxious about money are prone to engage in impulsive buying and, consequently, risky indebtedness behaviour. By engaging in such indebtedness behaviour, individuals weaken their financial preparedness for emergencies, which potentially jeopardizes their overall financial well-being.Research limitations/implicationsAs indebtedness is a highly sensitive issue, the self-report measures used may have produced social desirability bias.Practical implicationsThis study discusses the responsibility of financial institutions to support consumers in building awareness on how to adequately use financial services and to provide credit access to high-risk consumers. Policymakers need to ensure that those in the private sector play fairly.Originality/valueThis study adds new knowledge about how destructive financial behaviours operate and impact marketing and consumers’ financial well-being. It theorizes about indebtedness by critically examining existing and newly developed concepts in the financial services marketing literature.
Developing global organizational leaders’ social capital (take out “introduction”)
Authors: Nakamura Yoshie Tomozumi 
Published: June 2020

PurposeThe purpose of this study is to better understand what components impact the creation of organizational leaders’ social capital. The study further seeks to illuminate the effects of participating in a leadership development seminar on the creation of social capital in global contexts.Design/methodology/approachThe data was collected through questionnaires from 540 leaders across 69 countries of a global firm. The hypotheses that were developed from existing literature were tested using regression analysis. Quantitative scales were created by averaging the responses to the pertinent survey items. The reliability of these scales was assessed with Cronbach’s alpha. Factor analysis was performed to assess whether the items from each scale measure distinct constructs.FindingsThe results of this research showed effects of three components (interactive opportunities, individual-owned resources and motivational interactivity constraints) on social capital. Specifically, the research substantiated that these components differently impacted advice ties and social relations.Research limitations/implicationsThe study showed that firm leaders’ advice ties and social relations were differently impacted by identified components. With this in mind, organizations need to consider how they enhance and maintain the balance between advice ties and social relations among their leaders.Originality/valueEmpirical testing targeting organizational leaders in a global firm helped reveal findings in which variables impact their social capital. Based on the findings, this paper presents a framework that shows the identified components’ impacts on social capital ties and social relations.
Egyptian food experience of international visitors: a multidimensional approach
Authors: Mohamed Mohamed E.A. , Hewedi Mahamoud M. , Lehto Xinran , Maayouf Magdy 
Published: June 2020

Purpose
Using destination brand experience as a conceptual lens and data evidence from international visitors to Egypt, the purpose of this study is to examine the relative impact of the various dimensions of local food experience on tourist overall food satisfaction and destination revisit intention.

Design/methodology/approach
Data from a convenience sample of international visitors to Cairo, Egypt, (N = 302) was quantitatively analyzed using the structural equation modeling approach to test the relationships among constructs.

Findings
Empirical results reveal that three components of destination food experiences – sensory, affective and behavioral – effectively explain tourists’ food satisfaction and destination revisit intention, while intellectual food experience was reported to only influence destination revisit intention. Interestingly, the effect of food experience satisfaction on destination revisit intention was not significant.

Research limitations/implications
This study identifies local food experience aspects that require to be managed at a strategic level and provides guidelines on how these aspects can be effectively managed.

Originality/value
This study is the first empirical application of a multidimensional experience model to the context of tourists’ local food experience; it identifies the multifaceted characteristics of local food experience that deserve scholars’ and marketers’ attention.
Green knowledge management and strategic renewal: a discursive perspective on corporate sustainability
Authors: Gauthier Jeffrey , Zhang Zuopeng (Justin) 
Published: June 2020

PurposeThe purpose of this paper is to build theory concerning the role of discourse in strategic renewal and green knowledge management.Design/methodology/approachThe approach entails an application of discourse theory to the strategy process literature, a review of the knowledge management (KM) literature and examination of examples in the context of organizations' sustainability initiatives.FindingsA discourse-based model of green knowledge management, with associated research propositions that address each element of strategy renewal, is developed.Research limitations/implicationsThe model and propositions in this paper may help to spur future management research that draws on a variety of discourse analytic tools, and advances our understanding of KM focused on environmental sustainability.Originality/valueA discursive perspective on green knowledge management allows for a broader and more dynamic view of strategy process. This paper foregrounds the dynamic nature of strategy process in exploring the nature of discourse, and suggests that green knowledge management addresses a key megatrend that may form a foundation for strategic renewal.
Promoting interaction in online distance education: designing, implementing and supporting collaborative learning
Authors: Strauß Sebastian , Rummel Nikol 
Published: June 2020

Purpose
Against the background of empirical research on computer-supported collaborative learning (CSCL), the purpose of this paper is to advocate implementing collaborative learning activities into online distance education courses to engage learners in interactive knowledge construction. This study uses empirical evidence to illustrate how educators can integrate collaborative learning and designated collaboration support into their instructional design.

Design/methodology/approach
This study presents a general review of research literature from the field of CSCL to highlight productive interaction between learners as key learning mechanisms, summarize core features of collaborative tasks, which promote interaction between learners and present group awareness tools and collaboration scripts as two complementary approaches to support groups during collaborative learning.

Findings
Empirical research suggests that collaborative learning is an effective learning activity and that incorporating collaborative learning into online courses benefits learners in terms of learning and social aspects such as social presence. However, to leverage the potential of collaborative learning, careful instructional design that promotes productive interaction between students is necessary.

Originality/value
This paper provides an overview on the topic of collaborative learning and how meaningful interaction between learners can be fostered. Specifically, this study details how collaborative tasks can be designed and how collaboration support can be used to provide students with opportunities for interaction that fosters acquiring new domain-specific knowledge as well as collaboration skills. To allow educators to design and incorporate collaborative learning activities into their own online teaching, the authors provide a theoretical basis for understanding the mechanisms behind effective collaborative learning as well as examples and practical considerations.
Arbitrage in gray markets and its impact on supply chain decisions
Authors: Lu Yali , Foropon Cyril R.H. , Wang Dandan , Xu Shuaishuai 
Published: June 2020

PurposeThe purpose of this paper is to investigate the impacts of different gray markets’ structures on both supply chain decisions and associated profits.Design/methodology/approachWithin the context of gray markets, using game theory approach in this paper, supply chains have been considered as assets of manufacturers, distributors and speculators, within which manufacturers sell products to distinctive markets either directly or through authorized distributors, while speculators buy products from a lower price market and then sell them in a higher price market. Our study has examined different decision variables within such a framework.FindingsConsidering a situation where one manufacturer sells its products either directly in one market (Market 1) or through its authorized distributor (Market 2), due to different products prices in both markets, results have shown that, when market elasticity is less than its critical value, a speculator can sell a gray market product arbitrage in market 2, whereas when the market elasticity is greater than its critical value, a speculator can sell a gray market product arbitrage in market 1. In addition, manufacturers—as leaders of Stackelberg game—are always the most profitable stakeholders within a gray market supply chain.Practical implicationsIn this study, equilibrium results for each market have been obtained, optimal results have been compared, and accordingly, valuable insights have been developed. Such results would help managers to take better managerial decisions, as well as strategizing policies in gray markets.Originality/valueIn this paper, we have considered a gray market where both distributors and speculators exist and act as parallel channels. To the best of our knowledge, the extant literature focuses either on distributors or speculators, but never concurrently on both. In fact, the coexistence of one distributor and one speculator in a gray market will impact their own decisions, as well as both decisions and profits of other stakeholders, and hence, will exert an impact on the manufacturer side.
Deep-learning-assisted business intelligence model for cryptocurrency forecasting using social media sentiment
Authors: Yasir Muhammad , Attique Muhammad , Latif Khalid , Chaudhary Ghulam Mujtaba , Afzal Sitara , Ahmed Kamran , Shahzad Farhan 
Published: June 2020

PurposeBusiness Intelligence has gained a significant attraction in the recent past and facilitates managers for efficient business decision-making. Over the years, the attraction toward the cryptocurrency (CC) market has increased. Since the CC market is highly volatile, it is extremely sensitive to shocks and web data related to large events happening around the globe.Design/methodology/approachThis research study provides a business intelligence model to predict five top-performing CCs. In this study, deep learning, linear regression and support vector regression (SVR) are used to predict CC prices. The sentiment of some mega-events is also used to enhance the performance of these models.FindingsThe results show that models of business intelligence such as deep learning and SVR provide better results. Moreover, the results show that the incorporation of social media sentiment data significantly improves the performance of the proposed models. The overall accuracy of the model improves approximately twofold when multiple event sentiments were incorporated.Originality/valueThe use of social media sentiment of global and local events for different countries along with deep learning for CC forecasting.
Development of IoT based data-driven agriculture supply chain performance measurement framework
Authors: Yadav Sanjeev , Garg Dixit , Luthra Sunil 
Published: June 2020

PurposePerformance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.Design/methodology/approachThis research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).Findings“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.Research limitations/implicationsIn this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.Originality/valueBy using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.
Organizational search and business model innovation: the moderating role of knowledge inertia
Authors: Yu Bo , Hao Shengbin , Wang Yu 
Published: June 2020

Purpose
This study aims to explore the impact of organizational search (local and boundary-spanning search) on business model innovation (efficiency-centered/novelty-centered business model innovation) and the moderating role of knowledge inertia between them.

Design/methodology/approach
The relationships are examined through data provided by a sample of Chinese firms and by multiple hierarchical regressions.

Findings
Local search has a stronger effect on efficiency-centered business model innovation, whereas boundary-spanning search plays a stronger role in novelty-centered business model innovation. Knowledge inertia strengthens the effect of local search on efficiency-centered business model innovation but weakens the effect of boundary-spanning search on efficiency-centered business model innovation and the effect of local search on novelty-centered business model innovation.

Practical implications
The findings enable firms’ managers to understand the subtle ways in which organizational search interacts with knowledge inertia to affect business model innovation and may help them to make knowledge management efforts to harvest the full value of organizational search.

Originality/value
Previous studies have not examined the effect of different organizational search on different business model innovation from knowledge management perspective. With knowledge inertia as the moderator, the results reveal the contingent impact mechanism of organizational search on business model innovation, the findings provide fresh evidence that can bridge the gap between knowledge management and business model innovation.
Effects of supervisor bottom-line mentality on subordinate unethical pro-organizational behavior
Authors: Zhang Yun , He Bin , Huang Qihai , Xie Jun 
Published: June 2020

PurposeThis study aims to examine how supervisor bottom-line mentality (BLM) influences subordinate unethical pro-organizational behavior (UPB), considering the mediating role of subordinate moral disengagement and the moderating role of their power-distance orientation.Design/methodology/approachThe theoretical model was tested using two-wave data collected from employees of five firms in southern China.FindingsSubordinate moral disengagement was found to mediate the positive relationship between supervisor BLM and subordinate UPB. Furthermore, for subordinates with high power-distance orientation, the positive relationship between supervisor BLM and subordinate moral disengagement and the indirect positive relationship between supervisor BLM and subordinate UPB were both strengthened.Practical implicationsFirst, organizations should train their employees to pursue goals ethically based on established standards and policies for acceptable behavior and to punish UPB. Second, organizations should strengthen employees' ethics and reduce their likelihood of moral disengagement. Finally, organizations should create an environment that allows subordinates to question their supervisors’ BLM.Originality/valueFirst, the results demonstrate that supervisor BLM is an antecedent of subordinate UPB. Second, the study sheds important new light on how employees respond to supervisor BLM through cognitive processes. Third, it examines the moderating role of subordinate power-distance orientation between supervisor BLM, moral disengagement and UPB.
Value-in-use and service quality: do customers see a difference?
Authors: Medberg Gustav , Grönroos Christian 
Published: June 2020

PurposeThe definition of value adopted by the current service perspective on marketing theory is value as value-in-use. Surprisingly, however, little attention has been given to the question of what constitutes value-in-use for customers in service contexts? Therefore, the aim of this study is to provide an empirical account of value-in-use from service customers' point of view.Design/methodology/approachTo capture and analyze customers' experiences of value-in-use in the typical service context of retail banking, this study employed a narrative-based critical incident technique (CIT) and a graphical tool called the value chart.FindingsThe study identified seven empirical dimensions of positive and negative value-in-use: solution, attitude, convenience, expertise, speed of service, flexibility and monetary costs. Interestingly, these value-in-use dimensions overlap considerably with previously identified dimensions of service quality.Research limitations/implicationsThe concepts of service quality and value-in-use in service contexts seem to represent the same empirical phenomenon despite their different theoretical traditions. Measuring customer-perceived service quality might therefore be a good proxy for assessing value-in-use in service contexts.Practical implicationsAs the findings indicate that service quality is the way in which service customers experience value-in-use, service managers are recommended to focus on continuous quality management to facilitate the creation of value-in-use.Originality/valueThis study is the first to explicitly raise the notion that in the minds of service customers, value defined as value-in-use and service quality may represent the same empirical phenomenon.
Internal audit function and real earnings management practices in an emerging market
Authors: Ghaleb Belal Ali Abdulraheem , Kamardin Hasnah , Al-Qadasi Adel Ali 
Published: June 2020

PurposeThis study aims to investigate the monitoring role of internal audit function (IAF) on real earnings management (REM) practices. It examines the effect of investment in IAF (IIAF) and IAF sourcing arrangements on REM, unlike prior literature which has mainly examined the effects of IIAF on accrual-based earnings management.Design/methodology/approachThis study uses a sample of 1,056 observations from an emerging market, Malaysia, between 2013 and 2016. Feasible generalised least square (FGLS) regression is used to analyse the data. To corroborate the results of this study, the authors use an ordinary least square (OLS) regression model with robust standard errors adjusted and also consider alternative REM measures.FindingsThe results of this study suggest that IIAF has a significant negative relationship with REM practices. Further, in-house IAF sourcing has a significant negative association with REM. The additional analysis supports the main results confirming the essential role of IAF in reducing REM in the Malaysian market.Practical implicationsThe evidence relates to the important role of IAF in mitigating REM practices. High-quality of IAF impairs managers’ ability to manage earnings in their own interests. The findings may be useful in informing regulators, managers, shareholders and other investors, as well as researchers, about improving the role of IAF.Originality/valueThis study contributes to the existing literature by providing the first evidence of the significant role of IIAF and IAF sourcing arrangements in mitigating REM in an emerging country.