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Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

Leaders are role models and through social influence processes, they shape the behaviour of their followers. We build on social learning, social identity and person-environment (P-E) fit theories of leadership to explore the association between leaders’ and followers’ resilient behaviours.

In a three-wave, multisource study amongst 269 Dutch leaders and their followers, we investigate the mediating role of coaching in the relationship between leaders’ resilient behaviour and followers’ resilient behaviour and the moderating role of regulatory focus in this mediation path.

Our results show that coaching is a key relational vehicle through which leaders’ resilient behaviours shape employees’ resilient behaviours, and this indirect association is stronger for employees scoring low on promotion focus. In addition, our results show that resilient employees attract more coaching from their leaders, which further strengthens their resilient behaviours.

Existing studies have shown the occurrence of trickle-down effects of various leader behaviours, moods and work states on those of their followers. However, it remained obscure whether leaders’ resilient behaviour could trickle down to followers’ as well. Our study shows that such a link indeed exists and that coaching is a relational vehicle that embodies two key mechanisms to (1) foster social learning through behavioural entrainment and contagion and (2) facilitate support provision through which leaders promote resilient behaviour in their followers.

The main objective of this study is to examine the relationship between person-organization fit (P-O fit), job satisfaction (JS), workplace spirituality (WS) and turnover intentions in small and medium-sized enterprises (SMEs) and the moderate role of WS in these relationships.

Research data were collected by cross-sectional data collection methods. The sample contains 242 employees of SMEs in Indonesia. The analytical method used to test research hypotheses is moderate regression analysis.

The results show that P-O fit is an antecedent that can reduce turnover intention. JS has a negative effect on turnover intention and WS has a negative effect on turnover intention. WS moderates the relationship between P-O fit and turnover intention and the relationship between JS and turnover intention.

This study enhances the understanding of the importance of WS in reducing employee turnover intentions. This research also contributes to the research model based on fit theory and social exchange theory.

The practical implication of this research is to improve P-O fit in employees. Managers can manage the right people for the environment and the right environment for the individual. In other words, the organization must choose both. The most basic way to create a P-O fit for employees is to recruit employees suitable to organizational goals because, in general, SMEs rarely have a written vision and mission.

Through the of spirituality in the workplace, employees will experience a sense of meaning and purpose in their work, foster a sense of unity through positive relationships and achieve alignment between personal and organizational values. Consequently, this will diminish the inclination to seek employment elsewhere.

Although turnover intention in employees is considered necessary, there is still minimal research that discusses turnover intention and WS in SMEs. To the authors' knowledge, no one has tested WS on the relationship between PO fit and JS with turnover intention in SMEs.

Massive open online courses (MOOCs), a Taylorist attempt to automate instruction, help make course delivery more efficient, economical and better. As an implementation of Digital Taylorism Implementation (DTI), MOOCs enable individuals to obtain an occupation-oriented education, equipping them with knowledge and skills needed to stay employable. However, learning through online platforms can induce tremendous amounts of technology-related stress in learners such as complexity of platforms and fears of redundancy. Thus, the aim of this paper is to study how student perceptions of DTI and technostress (TS) influence their perceived employability (PE). The role of TS as a mediator between DTI and PE has also been studied.

Stratified sampling technique has been used to obtain data from 305 students from 6 universities. The effect of DTI and TS on PE, and the role of TS as a mediator, has been examined using the partial least squares (PLS) structural equation modelling approach with SMART PLS 4.0. software. Predictive relevance of the model has been studied using PLSPredict.

Results indicate that TS completely mediates the relationship between DTI and PE. The model has medium predictive relevance.

Learning outcomes from Digitally Taylored programs can be improved with certain reforms that bring the human touch to online learning.

This study extends Taylorism literature by linking DTI to PE of students via technostress as a mediator.

The contemporary business environment is characterised by an increasing reliance on artificial intelligence, automation, optimisation, efficient communication and data-driven decision making. Based on the limited academic literature that examines the managerial perspective on enterprise chatbots, the paper aims to explore organisational needs and expectations for enterprise chatbots from a managerial perspective, assesses the relationship between managerial knowledge and managerial opinion regarding enterprise chatbots, and delivers a framework for integrating chatbots into the digital workforce.

The paper presents a quantitative design. An online, self-administered survey yielded 111 valid responses from managers in service and manufacturing organisations based on convenience and snowball sampling strategies. Given the nature of the data and the research questions, the research was conducted using principal component analysis, parallel analysis, correlation, internal consistency and difference in means tests.

This research explores the managerial perspective on enterprise chatbots from multiple perspectives (i.e., adoption, suitability, development requirements, benefits, barriers, performance and implications), presents a heat map of the average level of chatbot need across industries and business units, highlights the urgent need for education and training initiatives targeted at decision makers, and provides a strategic framework for successful chatbot implementation.

This study equips managers and practitioners dealing with enterprise chatbots with knowledge to effectively leverage the expected benefits of investing in this technology for their organisations. It offers direction for developers in designing chatbots that align with organisational expectations, capabilities and skills.

Insights for managers, researchers and chatbot developers are provided. The work complements the few academic studies that examine enterprise chatbots from a managerial perspective and enriches related commercial studies with more rigourous statistical analysis. The paper contributes to the ongoing discourse on decision-making in the context of technology development, integration and education.

The construction industry has struggled to deliver schemes on time to budget and right-first-time (RFT). There have been many studies into nonconformance and rework through quantitative research over the years to understand why the industry continues to see similar issues of failure. Some scholars have reported rework figures as high as 12.6% of total contract value, highlighting major concerns of the sustainability of construction projects. Separately, however, there have been few studies that explore and detail the views of industry professions who are caught in the middle of quality issues, to understand their perceptions of where the industry is failing. As such, this paper interrogates qualitative data (open-ended questions) on the topic of nonconformance and rework in construction to understand what industry professionals believe are the causes and suggested improvement areas.

A qualitative approach is adopted for this research. An industry survey consisting of seven open-ended questions is presented to two professional working groups within a Tier 1 contractor, and outputs are analysed using statistic software (NVivo 12) to identify prominent themes for discussion. Inductive analysis is undertaken to gain further insight into responses to yield recurrent areas for continuous improvement.

Qualitative analysis of the survey reveals a persistent prioritisation of cost and programme over quality management in construction project. Furthermore, feedback from construction professionals present a number of improvement areas that must be addressed to improve quality. These include increased training and competency investment, overhauling quality behaviours, providing greater quality leadership direction and reshaping the way clients govern schemes.

There are limitations to this paper that require noting. Firstly, the survey was conducted within one principal contractor with varying levels of knowledge across multiple sectors. Secondly, the case study was from one major highways scheme; therefore, the generalisability of the findings is limited. It is suggested that a similar exercise is undertaken in other sectors to uncover similar improvement avenues.

The implications of this study calls for quality to be re-evaluated at project, company, sector and government levels to overhaul how quality is delivered. Furthermore, the paper identifies critical learning outcomes for the construction sector to take forward, including the need to reassess projects to ensure they are appropriately equip with competent personnel under a vetted, progressive training programme, share collaborative behaviours that value quality delivery on an equal standing to safety, programme and cost and tackle the inappropriate resource dilemmas projects finding themselves in through clear tendering and accurate planning. In addition, before making erratic decisions, projects must assess the risk profiling of proceed without approved design details and include the client in the decision-making process. Moreover, the findings call for a greater collaborative environment between the construction team and quality management department, rather than being seen as obstructive (i.e. compliance based policing). All of these must be driven by leadership to overhaul the way quality is managed on schemes. The findings demonstrate the importance and impact from open-ended survey response data studies to enhance quantitative outcomes and help provide strengthened proposals of improvement.

This paper addresses the highly sensitive area of quality failure outcomes and interrogates them via an industry survey within a major UK contractor for feedback. Unique insights are gained into how industry professionals perceive quality in construction. From previous research, this has been largely missing and offers a valuable addition in understanding the “quality status quo” from those delivering schemes.

Managerial “awareness” of supply chain management (SCM) principles is a key antecedent of SCM adoption. However, supply chain awareness (SCA) provides fertile ground for further development. The authors combine extant research with the attention-based view of the firm to further develop SCA and theorize about its effect in an understudied context.

The authors combine SCA with supply chain orientation, of which awareness is central. The authors combine qualitative and archival data for a 10-year period to test SCA in nonprofits. SCA was measured unobtrusively to avoid respondent bias; then, the authors explore how SCA relates to revenue generation from services provided.

SCA correlates positively with revenue generation. Drawing on a contingency perspective, the authors test two moderators relevant to nonprofits. The positive effect of SCA on revenue is stronger for nonprofits collocated in cities with corporate headquarters but weaker for those with larger boards.

The study further advances the notion of awareness for studying SCM phenomena and provides evidence of its relevance in the unexamined context of human services nonprofit organizations (NPOs). This work has implications for how attention to SCM principles shapes organizational outcomes, the factors that moderate these relationships and the importance of unobtrusively measuring awareness in SCM research. The authors used WayBack Machine to harvest websites. However, the quality and depth of text obtained prior to 2008 were lower than those of later years. Additionally, archival data for NPOs are limited.

Findings inform about the fit between nonprofit resources, type of board and fit with how to fund operations. This research provides an alternative way for policy makers to assess NPO capacity by focusing on the fundamental SCM concepts.

The authors contribute to the dialogue about NPOs developing financial independence through revenue generation from services sold to end customers.

NPOs are seldom studied in SCM. This is an attempt to study NPOs by combining qualitative and quantitative data.

Despite the fact that fit positively influences customers’ attitudes toward companies, previous research reveals differing roles of fit in the domain of corporate social responsibility (CSR) based on criteria and degree. Because the impact of fit between customers and service companies in the domain of CSR remains unclear in the hospitality context, this study aims to examine the effects of different CSR types on customer–CSR fit, attitude and behavioral intentions in hospitality settings.

A total of 219 usable hotel customer responses were collected and analyzed using SmartPLS software.

Results show that companies’ demonstration of CSR toward social/nonsocial stakeholders is most effective for increasing perceived fit by customers, followed by CSR toward employees and toward customers. Also, this study identifies perceived fit as an indicator of customers’ positive attitudes and revisit intentions. This study enhances our understanding of relationships among three dimensions of CSR activities and customers’ responses.

This study provides guidelines with which hospitality companies can create sustainable growth by engaging the welfare of communities, employees and customers.

The final effectiveness of employee voice largely depends on voice endorsement. This study aims to review, assess, analyze and synthesize the emerging literature on voice endorsement by focusing on its antecedents to promote future research from a comprehensive perspective.

Based on an integrative review of the literature, the authors conducted a content analysis of 53 peer-reviewed journal articles.

Building on the Shannon–Weaver communication model, this paper summarizes that factors influencing voice endorsement can be classified into five prominent aspects: voicer, voiced idea, contextual factors and noises, voice channel (medium) and voice receiver.

This research holds important implications for practice, providing practical guidelines for employees to speak up, for leaders to endorse voice and for organizations to maintain sustainable development by making full use of employee voice.

This review enriches voice endorsement research by introducing a communication framework to synthesize its antecedents and extends the application of the communication model in organization research. Additionally, the authors offer directions for future research.

The present study purports to unravel the mechanism in relationship among leadership behaviour integrity, organisational career development and employee engagement. Further, it also aims to understand if the employee feedback self-efficacy has any moderating influence on the relationship between leader behavioural integrity and organisational career development.

Pre-existing questionnaires are used for collecting data from a total of 417 employees working in the information technology industry operating within India. Analysis of the data is done using structural equation modelling technique.

Results of the study show that organisational career development partially mediates the relationship between leadership behavioural integrity and employee engagement. It is also found that feedback self-efficacy plays a moderating role in the relationship between leadership behavioural integrity and organisational career development.

The study helps to understand the mechanism of the relationship between leadership behavioural integrity and employee engagement through organisational career development with the support of ethical theory and social exchange theory. It also shows the moderating role played by feedback self-efficacy in the relationship between leadership behavioural integrity and organisational career development using social learning perspective.