bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mediating effect of organisational innovation in the prediction of change-oriented leadership on organisational performance
Authors: AlAnazi Amer Ahmad , Kura Kabiru Maitama , Suleiman Ebi Shahrin , Abubakar Ramatu Abdulkareem 
Published: August 2021

PurposeTo address this question, this study aims to drew from resource-based view to examine the mediating role organisational innovation in the relationship between change-oriented leadership and organisational performance.Design/methodology/approachGiven that the unit of analysis is an organisation, 219 principal officers, including Presidents/Rectors, Vice Presidents/Vice-Rectors, Registrars and Deans, were invited to complete the survey on behalf of their universities.FindingsResults of the partial least squares structural equation modelling confirmed the positive relationship between change-oriented leadership and university performance. The results provide evidence that organisational innovation directly facilitates university performance. As expected, the relationship between change-oriented leadership and university performance was found to be mediated by organisational innovation.Practical implicationsOverall, this study successfully modelled organisational innovation as an underlying mechanism behind the change-oriented leadership – university performance relationship, thereby by testing resource-based theory in Saudi Arabian context. From a practical perspective, results suggest that to improve their performance is imperative for executive leaders in Saudi universities to focus on several specific work design strategies, obtaining feedback about their change-oriented leadership style from followers.Originality/valueWhilst there has been a considerable amount of research emphasising the importance of change-oriented leadership, there has been little research linking this fundamental aspect of leadership to organisational performance. Yet an understanding of the possible mechanisms behind this linkage has not received attention.
Empirical evaluation of code smells in open-source software (OSS) using Best Worst Method (BWM) and TOPSIS approach
Authors: Tandon Stuti , Kumar Vijay , Singh V.B. 
Published: August 2021

PurposeCode smells indicate deep software issues. They have been studied by researchers with different perspectives. The need to study code smells was felt from the perspective of software industry. The authors aim to evaluate the code smells on the basis of their scope of impact on widely used open-source software (OSS) projects.Design/methodology/approachThe authors have proposed a methodology to identify and rank the smells in the source code of 16 versions of Apache Tomcat Software. Further, the authors have analyzed the categorized smells by calculating the weight of the smells using constant weights as well as Best Worst Method (BWM). Consequently, the authors have used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to determine the rank of versions using constant weights as well as BWM.FindingsVersion 1 of Apache Tomcat has least smell, and version 8 is reported to contain the maximum code smells. Notable differences in both the cases during the trend analysis are reported by the study. The findings also show that increase is observed in the number of code smells with the release of newer versions. This increment is observed till version 8, followed by a subtle marked depreciation in the number of code smells in further releases.Originality/valueThe focus is to analyze smells and rank several versions of Apache Tomcat, one of the most widely used software for code smell study. This study will act as a significant one for the researchers as it prioritizes the versions and will help in narrowing down the options of the software used to study code smell.
On inference and design under progressive type-I interval censoring scheme for inverse Gaussian lifetime model
Authors: Roy Soumya , Pradhan Biswabrata , Purakayastha Annesha 
Published: August 2021

PurposeThis article considers Inverse Gaussian distribution as the basic lifetime model for the test units. The unknown model parameters are estimated using the method of moments, the method of maximum likelihood and Bayesian methods. As part of maximum likelihood analysis, this article employs an expectation-maximization algorithm to simplify numerical computation. Subsequently, Bayesian estimates are obtained using the Metropolis–Hastings algorithm. This article then presents the design of optimal censoring schemes using a design criterion that deals with the precision of a particular system lifetime quantile. The optimal censoring schemes are obtained after taking into account budget constraints.Design/methodology/approachThis article first presents classical and Bayesian statistical inference for Progressive Type-I Interval censored data. Subsequently, this article considers the design of optimal Progressive Type-I Interval censoring schemes after incorporating budget constraints.FindingsA real dataset is analyzed to demonstrate the methods developed in this article. The adequacy of the lifetime model is ensured using a simulation-based goodness-of-fit test. Furthermore, the performance of various estimators is studied using a detailed simulation experiment. It is observed that the maximum likelihood estimator relatively outperforms the method of moment estimator. Furthermore, the posterior median fares better among Bayesian estimators even in the absence of any subjective information. Furthermore, it is observed that the budget constraints have real implications on the optimal design of censoring schemes.Originality/valueThe proposed methodology may be used for analyzing any Progressive Type-I Interval Censored data for any lifetime model. The methodology adopted to obtain the optimal censoring schemes may be particularly useful for reliability engineers in real-life applications.
How the peer-to-peer market for tourist accommodation has responded to COVID-19
Authors: Benítez-Aurioles Beatriz 
Published: August 2021

Purpose
This study aims to analyze the COVID-19 pandemic’s impact on the peer-to-peer (p2p) market for tourist accommodation.

Design/methodology/approach
Using monthly panel data from Airbnb listings in 22 cities worldwide, the authors run a differences-in-differences analysis comparing the period of February–October 2020 to the previous year.

Findings
Besides a decline in accommodation supply, the pandemic made prices and demand fall in all cities significantly, after controlling for room characteristics, host traits, booking policies and individual fixed effects. There is also evidence of an alteration of the influence on prices of certain variables such as superhost and instant booking.

Research limitations/implications
The main limitations are related to the reference spatial and temporal environment. Besides, the samples are limited to listings that stayed before and after the pandemic; therefore, it is possible that the real effect on review growth and/or prices is actually more negative.

Practical implications
The analysis performed shows a scenario that represents an opportunity for public managers to test more imaginative regulations that overcome the limitations of those implemented so far. Likewise, hosts who aspire to make their accommodations profitable must adapt to the conditions imposed by the economic environment of the cities in which they operate.

Originality/value
This is the first study to econometrically estimate the impact of COVID-19 on prices in the p2p market for tourist accommodation in a set of cities worldwide.
Design and analysis of magnetorheological damper based ankle-foot prosthesis prototype
Authors: Negi Sachin , Sagar Ujjwal , Nautiyal Vijay Kumar , Sharma Neeraj 
Published: August 2021

Purpose
This paper aims to design and analyze a controlled magnetorheological damper-based ankle-foot prosthesis prototype.

Design/methodology/approach
The ankle-foot prostheses prototype is proposed using the lightweight three dimensional (3 D)-printed parts, MR damper and digital servomotor. Initially, the computer-aided design (CAD) model of the prosthetic foot, leaf spring, retention spring and the various connecting parts required to connect the pylon and damper actuator assemblies are designed using CAD software. Later, the fused deposition modeling 3 D printer-based technique prints a prosthetic foot and other connecting parts using Acrylonitrile Butadiene Styrene filament. The prototype consists of two control parts: the first part controls the MR actuator that absorbs the impacts during walking. The second part is the control of the electric actuator intended to generate the dorsiflexion and plantar flexion movements. Finally, the prototype is tested on a transtibial amputee under the supervision of a prosthetist.

Findings
The ANalysis SYStems software-based analysis has shown that the prosthetic foot has a factor of safety values between 4.7 and 8.7 for heel strike, mid-swing and toe-off; hence, it is safe from mechanical failure. The designed MR damper-based ankle-foot prosthesis prototype is tested on an amputee for a level-ground walk; he felt comfortable compared to his passive prosthesis.

Originality/value
The design of an MR damper-based prosthesis prototype offers a better dynamic range for locomotion than passive prostheses. It reduces the injuries and provides relief to the transtibial amputees.
A new mechanism for purchasing through personal interactions: fairness, trust and social influence in online group buying
Authors: Hung Shiu-Wan , Cheng Min-Jhih , Lee Chia-Jung 
Published: August 2021

PurposeThe purpose of this article was to explore the influence of individual perception and social climate on consumer-initiated group-buying purchase decisions. An extended cross-level research model was used to explain how a new mechanism for purchasing through personal interactions could work.Design/methodology/approachThis study utilised a questionnaire survey for data gathering. The subjects of the investigation were group-buying initiators. Hierarchical linear modelling (HLM) was used to experimentally examine the research hypotheses.FindingsThe empirical results of the study indicate that the social influence of critical mass can effectively promote positive attitudes and intentions towards consumer-initiated online group buying. An individuals' perception of an initiator's fairness influences their trust in the initiator. In addition, trust in the initiator can positively and significantly influence buyers' attitudes and intentions to online group buying.Originality/valueMost previous studies on online group-buying focus on how social media influences group-buying behaviours. This study extends social media research by introducing an extended cross-level model to provide a comprehensive investigation into online-shopping. It is a preliminary attempt to systematically verify relationships at the individual and aggregate levels. The decision to group buying requires a relationship of trust to be formed before any transaction takes place, thereby increasing the intention to make a purchase. As a result, group buying is perceived as positive when interpersonal communication is very efficient, or when social influence is high.
The impact of buyer–supplier communication on production ramp-up performance
Authors: Gesell Claudia , Glas Andreas Herbert , Essig Michael 
Published: August 2021

PurposeThe purpose of this paper is to examine how communication with suppliers influences performance during production ramp-up. Often, time, cost or quality targets are missed in production ramp-ups while the number and frequency of ramp-ups is further increasing. The goal of this paper is thus to contribute a better understanding if and to which extend communication content or communication relationship is affecting ramp-up performance.Design/methodology/approachThe research uses data from a dyadic survey (N = 160) in the German automotive industry. The data set comprises responses from buyers and suppliers. Constructs, namely, information and relationship quality, as well as communication satisfaction, are measured. The effect of communication is evaluated referring to cost, quality and time dimensions of performance. The analysis is applied with structural equation modeling methodology. This research is complemented by a multigroup analysis (MGA) especially comparing buyer and supplier respondent groups.FindingsThe results indicate that communication satisfaction positively influences ramp-up performance and that information quality is of higher relevance than relationship quality. Briefly, information exchange (what information to transfer) is more important than relationship management (how to transfer information). This finding contrasts previous literature focusing on relationship factors in communication settings. Furthermore, findings from MGA sustain the findings, because effects are also analyzed from a supplier’s or buyer’s viewpoint. Overall, the findings imply that supplier communication in production ramp-up must of course provide a high level of information quality. However, to optimize ramp-up performance also a high level of relationship quality is required.Research limitations/implicationsThis study featured data from the German automotive industry from buyer’s and supplier’s perspective. This limits its generalizability, yet provides opportunities to test the findings through longitudinal studies, potentially gathering data from other sectors.Practical implicationsThis research recommends managers deliver high information quality to improve communication satisfaction. Hence, this survey provides support for business communication o enhance ramp-up performance to achieve success in buyer–supplier relations.Originality/valueBesides the original dyadic database, this research addresses production ramp-up as a very dynamic process. Plans and forecasts change often, thus supplier communication takes place in a stress situation. Then, communicators might overstate information quality and lose sight of relationship quality. The study contributes to this field of research and postulates that (automatic, autonomous) data exchange requires behavioral and relational support. The findings are useful for companies in stress situation (e.g. also a pandemic supply crisis) and will avoid that the optimization of information exchange disregards the relationship aspect.
Research output, intellectual structures and contributors of digital humanities research: a longitudinal analysis 2005–2020
Authors: Su Fangli , Zhang Yin 
Published: August 2021

PurposeThis study aims to update and extend previous efforts gauging the status of the quickly evolving field of digital humanities (DH). Based on a sample of directly relevant DH literature during 2005–2020 from Web of Science, the study conducts a longitudinal examination of the research output, intellectual structures and contributors.Design/methodology/approachThe study applies bibliometric methods, social network analysis and visualization tools to conduct a longitudinal examination.FindingsThe research output and scope of DH topics has grown over time with a widening and deepening field in four major development stages. Through both term frequency and term co-occurrence relationship networks, this study further identifies four major reoccurring topics and themes of DH research: (1) collections and contents; (2) technologies, techniques, theories and methods; (3) collaboration, interdisciplinarity and support and (4) DH evolution. Finally, leading DH research contributors (authors, institutions and nations) are also identified.Originality/valueThis study utilizes a greater number of and richer subject sources than previous efforts to identify the overall intellectual structures of DH research based on key terms from titles, abstracts and author keywords. It expands on previous efforts and furthers our understanding of DH research with more recent DH literature and richer subject sources from the literature.
Grounded accountability in life-and-death high-consequence healthcare settings
Authors: Flynn Maureen Alice , Brennan Niamh M. 
Published: August 2021

PurposeThe paper examines interviewee insights into accountability for clinical governance in high-consequence, life-and-death hospital settings. The analysis draws on the distinction between formal “imposed accountability” and front-line “felt accountability”. From these insights, the paper introduces an emergent concept, “grounded accountability”.Design/methodology/approachInterviews are conducted with 41 clinicians, managers and governors in two large academic hospitals. The authors ask interviewees to recall a critical clinical incident as a focus for elucidating their experiences of and observation on the practice of accountability.FindingsAccountability emerges from the front-line, on-the-ground. Together, clinicians, managers and governors co-construct accountability. Less attention is paid to cost, blame, legal processes or personal reputation. Money and other accountability assumptions in business do not always apply in a hospital setting.Originality/valueThe authors propose the concept of co-constructed “grounded accountability” comprising interrelationships between the concept’s three constituent themes of front-line staff’s felt accountability, along with grounded engagement by managers/governors, supported by a culture of openness.
A dependency-based machine learning approach to the identification of research topics: a case in COVID-19 studies
Authors: Zhu Haoran , Lei Lei 
Published: August 2021

PurposePrevious research concerning automatic extraction of research topics mostly used rule-based or topic modeling methods, which were challenged due to the limited rules, the interpretability issue and the heavy dependence on human judgment. This study aims to address these issues with the proposal of a new method that integrates machine learning models with linguistic features for the identification of research topics.Design/methodology/approachFirst, dependency relations were used to extract noun phrases from research article texts. Second, the extracted noun phrases were classified into topics and non-topics via machine learning models and linguistic and bibliometric features. Lastly, a trend analysis was performed to identify hot research topics, i.e. topics with increasing popularity.FindingsThe new method was experimented on a large dataset of COVID-19 research articles and achieved satisfactory results in terms of f-measures, accuracy and AUC values. Hot topics of COVID-19 research were also detected based on the classification results.Originality/valueThis study demonstrates that information retrieval methods can help researchers gain a better understanding of the latest trends in both COVID-19 and other research areas. The findings are significant to both researchers and policymakers.
IoT as societal transformer: improving citizens' continuous usage intention in digital society through perceived public value
Authors: Chohan Sohail Raza , Hu Guangwei , Khan Asad Ullah , Pasha Ahmed Tisman , Saleem Fizzah , Sheikh Muhammad Atif 
Published: August 2021

PurposeThe public sector use of the internet of Things (IoT) technology is an emerging field with a potential for a variety of institutional applications in the fields of information gathering and policy implementation to establish resilience for modern society. In this context, we aim to investigate the success factors which can positively influence the continuous usage intention of IoT service with the mediation effect of perceived public value.Design/methodology/approachA conceptual model based on the strong literature and theoretical background is tailored to provide factors for IoT services success in the public sector. A quantitative survey was conducted through 381 citizens using IoT services to validate the proposed conceptual model using structural equation modeling approach in order to examine the influence of identified constructs on the continuous usage intention.FindingsThe results highlighted that the proposed model successfully accounted for about 59% perceived variance in public value creation and 63% perceived variance in citizens' continuous usage intention. IoT services success is best dignified by the perceptions of citizens who use the services, therefore, this study identifies the positive role of digital society affinity in context of social sustainability and it climaxes that the real value of IoT in public sector comes from establishment of services on top of the service delivery and that's where the public value is going to be created.Practical implicationsThe use of IoT technology in public services will fetch much benefit to the citizens as well as to the government. The study findings are significant in identifying good practices for generating public value in digital society affinity.Originality/valueThe integrated conceptual model explores the driving factors of citizens' inclination towards IoT technology in a social context. Through this study, we can analyze the role of perceived public value in enhancing the citizens' engagement with IoT services. The government policymakers and ICT managers take help from this study to designing IoT public services with making the government more responsive to citizens.
Acquiring firms' earnings management in stock-for-stock mergers within Korean business groups
Authors: Kim Kyung Soon , Lee Jin Hwon , Park Yun W. 
Published: August 2021

PurposeThis study examines acquirers' earnings management in intragroup mergers to investigate whether stock-for-stock mergers between affiliated firms within the same family-controlled business group facilitate the controlling shareholder's rent seeking. Specifically, it investigates the acquiring firm's incentive to inflate premerger-announcement earnings in intragroup mergers given the controlling shareholder's relative equity holdings in the target and acquiring firms. The authors also examine how creditor monitoring affects premerger-announcement earnings in intragroup mergers compared to mergers between independent firms.Design/methodology/approachUsing univariate analysis, panel regression based on accruals and cross-sectional regression based on discretionary accruals, the authors compare earnings management in mergers between affiliated firms with that in mergers between independent firms in the context of Korean business groups. The authors also compare the effects of creditors on earnings management in both cases.FindingsAcquirers' premerger-announcement positive abnormal accruals are less evident in mergers between affiliated firms than in mergers between independent firms. These accruals decrease with high financial leverage only in the latter case, suggesting that creditor monitoring mitigates earnings management only in independent firm mergers.Originality/valueThe authors examine intragroup mergers, unlike previous studies, which focus on unaffiliated firm mergers. They also contribute to the literature on stock-for-stock mergers, showing that lender monitoring can mitigate the acquiring firm's premerger earnings management in unaffiliated firm mergers but not in intragroup mergers. These findings suggest that stock-for-stock mergers between affiliated firms may facilitate the controlling shareholders' rent seeking, which has policy implications for emerging markets with large family-controlled business groups.