bluuebunny/crossref_metadata_2025_split huggingface dataset:
Examining the impact of consumers’ showrooming behavior on sales staff job conditions: insights from the Indian apparel retail sector
Authors: Kumar Manoj , Gahlawat Neha , Singh Sumanjeet , Chamola Pankaj , Kala Devkant , Paliwal Minakshi 
Published: June 2024

PurposeThis research aims to investigate the showrooming phenomenon in the context of the evolving omnichannel shopping landscape, which seamlessly integrates both physical and online retail channels. Showrooming, wherein customers browse products in physical stores but ultimately purchase from online competitors, poses a potential threat to the job security and job satisfaction of sales staff in brick-and-mortar (B&M) stores. To address this issue, this study explores the relationship between showrooming, self-efficacy, sales performance, job insecurity and job satisfaction of sales staff, using the job demands-resources (JDR-R) model as a theoretical framework.Design/methodology/approachThis research employs quantitative research methods and gathers data from 219 sales staff working in Indian retail stores. Structural equation modeling is used to test the proposed hypotheses.FindingsThe results indicate that showrooming is associated with a decrease in the self-efficacy, sales performance and job satisfaction of sales staff. Furthermore, the result indicates that showrooming is positively associated with increased job insecurity among the sales staff.Originality/valueThis study offers valuable contributions to existing literature and offers insights for both retailers and salespeople regarding the potential repercussions of showrooming. It also suggests coping strategies to address the challenges posed by showrooming and the behavior of showroomers.
Using bibliometric analysis to determine the role of cutting-edge technologies in the development of future performance management system
Authors: Kumar Pankaj , Prakash Karuna , Dimri Anjali , Khulbe Manjula , Chandra Mishra Satish 
Published: June 2024

PurposePerformance management system (PMS) is a crucial element of strategic human resource practices in any organization. This research aims to provide a concise overview of how bibliometric analysis is employed to assess the influence and significance of cutting-edge technologies in shaping of PMS. This study seeks to identify key trends, emerging technologies and their impact on the evolution of performance management practices, contributing valuable insights for researchers, practitioners and policymakers in this field.Design/methodology/approachThis investigation is carried out utilizing total of eight research questions, which are examined through VOS Viewer and Biblioshiny software. The research offers visual diagrams and tables depicting the data extracted from the Scopus Database.FindingsThe study’s results underscore a noticeable increase in research literature pertaining to PMS, indicating a shift from conventional methods to a strategic, technology-driven approach. These findings cover the way for further investigation across various disciplines, offering opportunities to enhance the efficacy and productivity of PMS.Practical implicationsThe implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration.Originality/valueTo the best of the authors' understanding, this analysis represents the inaugural application of bibliometric techniques to evaluate the advancement of research on Performance Management System (PMS) dating back to 1978, utilizing academic literature sourced from the Scopus database.
Investigating the role of relational factors on buyer-supplier relationship commitment to enhance firm performance through supply chain integration
Authors: Uddin Mohammed Belal 
Published: June 2024

PurposeThis study assesses how relational factors and buyer-supplier relationship commitment (BSRC) influence supply chain integration (SCI) and firm performance in Bangladesh's apparel manufacturing sector. Firm performance includes operational performance and innovation performance.Design/methodology/approachGrounded in the social exchange theory, a survey data-based structural equation modeling (SEM) approach is applied. Based on two experts and four executives' opinions and an in-depth literature review, 28 measurement items were identified in the close-ended questionnaire design. Further, 144 valid questionnaires from the manufacturer-supplier dyads in Bangladesh were collected and used for SEM analysis.FindingsOur study reveals that relational factors positively influence BSRC. BSRC directly impacts SCI, operational, and innovation performance, whereas SCI is significantly related to operational and innovation performance. Besides, SCI mediates the two relationships: BSRC and operational performance; and BSRC and innovation performance.Originality/valueOur results contribute to the literature and offer a new way to understand relationships that connect relational factors of BSRC, BSRC, and outcomes not only by examining the focal firm but also by examining its dyadic supplier partner separately. Separate assessment in the dyad displays some similar and dissimilar results. Moreover, we suggest practical implications for managers to enhance firm performance by focusing on the significance of linking relational factors, BSRC, and SCI.
Maturity grading of jujube for industrial applications harnessing deep learning
Authors: Mahmood Atif , Tiwari Amod Kumar , Singh Sanjay Kumar 
Published: June 2024

PurposeTo develop and examine an efficient and reliable jujube grading model with reduced computational time, which could be utilized in the food processing and packaging industries to perform quick grading and pricing of jujube as well as for the other similar types of fruits.Design/methodology/approachThe whole process begins with manual analysis and collection of four jujube grades from the jujube tree, in addition to this jujube image acquisition was performed utilizing MVS which is further followed by image pre-processing and augmentation tasks. Eventually, classification models (i.e. proposed model, from scratch and pre-trained VGG16 and AlexNet) were trained and validated over the original and augmented datasets to discriminate the jujube into maturity grades.FindingsThe highest success rates reported over the original and augmented datasets were 97.53% (i.e. error of 2.47%) and 99.44% (i.e. error of 0.56%) respectively using Adam optimizer and a learning rate of 0.003.Research limitations/implicationsThe investigation relies upon a single view of the jujube image and the outer appearance of the jujube. In the future, multi-view image capturing system could be employed for the model training/validation.Practical implicationsDue to the vast functional derivatives of jujube, the identification of maturity grades of jujube is paramount in the fruit industry, functional food production industries and pharmaceutical industry. Therefore, the proposed model which is practically feasible and easy to implement could be utilized in such industries.Originality/valueThis research examines the performance of proposed CNN models for selected optimizer and learning rates for the grading of jujube maturity into four classes and compares them with the classical models to depict the sublime model in terms of accuracy, the number of parameters, epochs and computational time. After a thorough investigation of the models, it was discovered that the proposed model transcends both classical models in all aspects for both the original and augmented datasets utilizing Adam optimizer with learning rate of 0.003.
Bifurcation analysis and control of an improved continuous traffic model considering weather effect
Authors: Ai Wenhuan , Lei Zheng Qing , Danyang Li , Zeng Jingming , Liu Dawei 
Published: June 2024

PurposeHighway traffic systems are complex and variable, and studying the bifurcation characteristics of traffic flow systems and designing control schemes for unstable bifurcation points can alleviate traffic congestion from a new perspective. Bifurcation analysis is used to explain the changes in system stability, identify the unstable bifurcation points of the system, and design feedback controllers to realize the control of the unstable bifurcation points of the traffic system. It helps to control the sudden changes in the stable behavior of the traffic system and helps to alleviate traffic congestion, which is of great practical significance.Design/methodology/approachIn this paper, we improve the macroscopic traffic flow model by integrating severe weather factors such as rainfall, snowfall, and dust. We use traveling wave transform to convert it into a traffic flow stability model suitable for branching analysis, thus converting the traffic flow problem into a system stability analysis problem. First, this paper derives the existence conditions of the model Hopf bifurcation and saddle-node bifurcation for the improved macroscopic model, and finds the stability mutation point of the system. Secondly, the connection between the stability mutation points and bifurcation points of the traffic system is analyzed. Finally, for the unstable bifurcation point, a nonlinear system feedback controller is designed using Chebyshev polynomial approximation and stochastic feedback control method.FindingsThe Hopf bifurcation is delayed and completely eliminated without changing the equilibrium point of the system, thus controlling the abrupt behavior of the traffic system.Originality/valueCurrently there are fewer studies to explain the changes in the stability of the transportation system through bifurcation analysis, in this paper; we design a feedback controller for the unstable bifurcation point of the system to realize the control of the transportation system. It is a new research method that helps to control the sudden change of the stable behavior of the traffic system and helps to alleviate traffic congestion, which is of great practical significance.
A sufficient descent hybrid conjugate gradient method without line search consideration and application
Authors: Salihu Nasiru , Kumam Poom , Ibrahim Sulaiman Mohammed , Babando Huzaifa Aliyu 
Published: June 2024

PurposePrevious RMIL versions of the conjugate gradient method proposed in literature exhibit sufficient descent with Wolfe line search conditions, yet their global convergence depends on certain restrictions. To alleviate these assumptions, a hybrid conjugate gradient method is proposed based on the conjugacy condition.Design/methodology/approachThe conjugate gradient (CG) method strategically alternates between RMIL and KMD CG methods by using a convex combination of the two schemes, mitigating their respective weaknesses. The theoretical analysis of the hybrid method, conducted without line search consideration, demonstrates its sufficient descent property. This theoretical understanding of sufficient descent enables the removal of restrictions previously imposed on versions of the RMIL CG method for global convergence result.FindingsNumerical experiments conducted using a hybrid strategy that combines the RMIL and KMD CG methods demonstrate superior performance compared to each method used individually and even outperform some recent versions of the RMIL method. Furthermore, when applied to solve an image reconstruction model, the method exhibits reliable results.Originality/valueThe strategy used to demonstrate the sufficient descent property and convergence result of RMIL CG without line search consideration through hybrid techniques has not been previously explored in literature. Additionally, the two CG schemes involved in the combination exhibit similar sufficient descent structures based on the assumption regarding the norm of the search direction.
Supplier relationship management and business performance of small-scale grapes processing firms in Dodoma, Tanzania: the moderating role of logistics capabilities
Authors: Kisinga Debora Chelestino , Mchopa Alban Dismas , Mwagike Leonada Raphael 
Published: June 2024

PurposeThis paper aims to investigate the effect of supplier relationship management (SRM) on the business performance of small-scale grapes processing firms in Dodoma, Tanzania. The paper also examines the moderating role of logistics capabilities in the relationship between SRM and business performance.Design/methodology/approachThis research uses a cross-sectional survey design. A structured questionnaire was used to collect data from 202 small-scale grape processing firms. The data were analysed through descriptive and structural equation modelling.FindingsThe findings revealed that buyer-supplier relationships, supplier development and supplier selection were positively and significantly related to business performance. Furthermore, knowledge transfer had no relationship with business performance. On the other hand, the findings showed that logistics capabilities significantly moderated the relationship between SRM and business performance.Research limitations/implicationsThe study was cross-sectional, conducted only in Tanzania, and focussed entirely on small-scale firms processing grapes as raw materials. Thus, generalising the study findings to other countries with different conditions should be done cautiously. Also, this study used subjective measures, and other studies could use objective measures.Practical implicationsThe study helps firm managers understand the importance of supplier relationship management on business performance. The findings also can be used by policymakers to create targeted policies and initiatives that support the firm’s growth and sustainability.Originality/valueTo the best of the researchers’ knowledge, this is the first attempt to find empirical support for the moderating role of logistics capability in supplier relationship management and the business performance of small-scale grapes processing firms in the Tanzanian context.
Educational aspirations of school adolescents in Kazakhstan, Kyrgyzstan and Tajikistan: how are these aspirations shaped?
Authors: Smailova Ainura , Tynaliev Urmatbek M. , Borbugulov Malik , Sadyrova Gulzat 
Published: June 2024

PurposeThis study examines the factors influencing educational aspirations among adolescents in secondary and high schools across Kazakhstan, Kyrgyzstan (officially Kyrgyz Republic), and Tajikistan, with a focus on their aspirations for higher and postgraduate education. Through an analysis of a sample comprising 1360 students from grades 7 to 11, the research explores the likelihood of these students pursuing tertiary education.Design/methodology/approachThe ordered logit regression models were used to analyze the impact of variables related to family background, including parents’ education, family support and SES, and school grade. Additionally, the Exploratory Factor Analysis was utilized to distill a smaller set of underlying factors or constructs from the measured variables.FindingsThe findings indicate that the mother's education level is significantly more influential compared to the father's education in shaping adolescents' aspirations for higher and postgraduate education in the Central Asian context. Additionally, hypotheses concerning the influence of family socioeconomic status (SES), family support, and grade-level differences on adolescents' higher educational aspirations have only been partially confirmed.Originality/valueTo the best of the authors' knowledge, no prior research work has indicated a significant impact of a mother's education on the educational aspirations of her offspring in the Central Asian region. This trend is consistent with the concept of educational hypogamy, wherein mothers possess higher educational levels than fathers, a phenomenon that is gaining prominence in contemporary family dynamics.
Effectiveness of using feature films in organizational behavior education: an empirical investigation
Authors: Moorthy Janakiraman , Choi Sheena , Bingi Prasad 
Published: June 2024

PurposeWe investigated the effectiveness of using feature films in teaching organizational behavior courses at the undergraduate level at a mid-Western university in the USA.Design/methodology/approachOur model included the impact of film analysis on self-perceived learning outcomes and cognitive and affective changes among students. Structural equation modeling using partial least squares and contemporary mediation analysis techniques were employed.FindingsFeatured film analysis positively impacted perceived learning outcomes and the cognitive and affective components of learning among students. We also found an indirect effect on cognitive and affective change, indicating that learners’ improved perceived learning outcomes deepened their learning and resulted in greater appreciation of organizational behavior theories.Practical implicationsFilms are effective pedagogical tools for teaching complex business theories and principles. We recommend that faculty members pay careful attention to selecting films for study and should design film analysis projects aligned with meaningful course learning outcomes. Appropriate films and carefully designed learning outcomes trigger cognitive changes and have a lasting influence on students beyond the semester.Originality/valueOur study is one of the few empirical studies demonstrating the effectiveness of feature films as a pedagogical tool for organizational behavior courses.
Unraveling the building blocks of success: exploring the nexus between school structure and effectiveness in Israeli primary schools
Authors: Dadon-Golan Zehorit , BenDavid-Hadar Iris , Tsidkany Reut 
Published: June 2024

PurposeFirst, to analyze the relationships between school effectiveness, as expressed in the improvement gained in academic achievements, and school structure; and second, to analyze the relationships between school effectiveness and school features (e.g. ethnicity, SES, rural vs. central location, class size, prior achievements, and per-student allocation) and to measure their contribution to the explained variation in school effectiveness.Design/methodology/approachResearch on school effectiveness emphasizes the examination of school characteristics that have been found to contribute more to promoting school outcomes. Therefore, by using regression models the purpose of the research is twofold.FindingsThe research findings reveal positive significant relationships between school effectiveness, and students' prior achievements, and SES. However, school effectiveness is less related to school structure.Research limitations/implicationsFuture research in the field of school effectiveness should extend beyond solely focusing on academic achievements and include the evaluation of broader aspects of students' development, such as values and self-esteem. Recognizing the multifaceted nature of schools, it is crucial to incorporate additional variables into ongoing research efforts to provide a more comprehensive understanding of overall school effectiveness. Moreover, considering the diverse stakeholders involved in the educational process, including parents, teachers, principals, and the community, future studies should strive to examine the collective impact of these factors on school effectiveness. However, it is important to acknowledge the limitations of our study. Our research is constrained by a specific sample size, which may limit the generalizability of our findings. We assert that future studies with larger and more diverse sample sizes would strengthen the validity and significance of our results, allowing for broader implications and insights into enhancing school effectiveness.Originality/valueThis research holds significant importance in understanding the relationships between school effectiveness, school structure, and various school features in the context of Israeli primary schools. By examining the impact of school structure on academic achievements and exploring the contributions of other school-related factors, this study provides insights into the dynamics of educational effectiveness for educational stakeholders.
Understanding the impact of technology investments on financial performance among Latin American supply chains
Authors: Guha Samayita , Upadhyay Arun , Gupta Manjul 
Published: June 2024

PurposeIn spite of the fact that today’s supply chains are global, it is surprising the current research lacks studies primarily focusing on Latin American (LATAM) firms. To enhance our understanding in this domain, this study examines the impact of technology investments on inventory turnover, asset turnover and employee productivity measures within the LATAM context.Design/methodology/approachWe use an unbalanced panel of over 2,101 firm-year observations from the Worldscope database between 2010 and 2022 and limit our analysis to firms located in the Latin American region. We use panel data and regression analysis to test our hypotheses.FindingsThe findings reveal a positive impact of technology investments on inventory turnover, asset turnover and employee productivity.Originality/valueThere is a dearth of research in the discipline primarily focusing on the firms from the LATAM region. The extant literature has largely focused on the Western firms and we know from prior cross-cultural research that there are significant differences in terms of how firms and governments operate differently in emerging and non-Western regions such as LATAM or parts of Asia and Africa. By specifically focusing on a sample of LATAM firms, the study makes important contributions to the extant literature with respect to the role of technology investments in improving inventory turnover, and also on asset turnover and employee productivity. The study further provides implications for practice.
Logistics service failures and recovery strategies: is the response time or the discount amount more important?
Authors: Gurler Hasan Emin , Erturgut Ramazan 
Published: June 2024

PurposeAlthough trade volumes in e-retailing have increased significantly in recent years, logistics service failures are inevitable, especially at the delivery stage. Therefore, it is essential to provide customers with effective recovery strategies to increase their satisfaction and repurchase intentions. There is a lack of empirical evidence on whether the response time or the discount offered in compensation is more crucial for customers. Therefore, this study aims to determine whether the response time or the discount offered for high and low criticality failures has a greater impact on customer satisfaction levels and repurchase intentions for female and male customers.Design/methodology/approachA scenario-based experimental design method has been adopted to collect data, and 697 participants aged 18 and 58 years have been reached. The research utilized a between-subjects design, incorporating three factors: gender (female vs male), criticality (high vs low) and compensation (7 days: 10% discount, 10 days: 20% discount and 14 days: 30% discount). Six scenarios depicting the failure of an online retailer were created, and factorial univariate ANOVA was conducted to test the hypotheses.FindingsThe study's results show that in terms of customer satisfaction, female customers attach more importance to the response time in the case of high criticality and the amount of discount offered in the case of low criticality. On the other hand, male customers give more importance to the response time in terms of customer satisfaction when they experience a high or low criticality failure. In the case of low criticality, response time is more important for male customers to increase their repurchase intentions, while the amount of the discount is more important for female customers.Originality/valueThe study demonstrates the relative importance of the response time and discount amount according to the criticality level of failures and to guide business managers in terms of the recovery strategies they will implement. It focuses on gender differences and determine whether the response time or discount amount is more important for male and female customers in high or low-criticality situations.