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The current study has a two-fold purpose. Firstly, it aims to analyze the extent to which knowledge management (KM) affects the performance of individuals (task and contextual) on the one hand and that of organizations (product or service, perceived and financial) on the other hand. Secondly, it proposes to investigate the mediating effect of motivation and innovation in the relationship between KM and individual and organizational performance.

Partial least squares structural equation modeling (PLS-SEM) was employed in this study, with mediation analysis performed using advanced PLS-SEM techniques. A total of 1,284 respondents from organizations in both the public and private sectors were included in the sample.

The findings emphasize that KM has a more significant direct effect on individual performance compared to organizational performance. Concurrently, in terms of indirect influence, it is found that KM, through motivation and innovation, has a positive and significant effect on both individual and organizational performances, with a higher influence on the organizational one.

The originality of the work can be noted in designing two different structural models to represent the proposed relationships at the individual and organizational levels. These findings could provide organizational decision makers with empirical evidence, helping them (1) internalize the significance of the KM process in organizations as well as its subsequent effects on individual and organizational performance and (2) identify factors that mediate variable relationships.

Awarding contracts based solely on the lowest price is unsuitable for every project. Consequently, most procurement systems in developed countries have progressed to the multicriteria selection practices (MSPs) for tender evaluation. MSPs consider a range of quality measures, such as completion time, life cycle cost, functional characteristics, environmental impact and innovation, alongside bid price. This study examines the prevailing MSPs in Sri Lankan public tender evaluations to enhance the effectiveness of the local tender evaluation process.

A desk study approach was employed to collect bidding documents, resulting in the identification of 66 documents. A systematic screening process was then applied to identify those bidding documents that incorporated MSPs. Subsequently, content analysis was conducted to determine the common features of the functions used in MSPs.

The study identified six primary functions related to MSPs incorporated in the bidding documents to procure building and substation projects. Three functions follow the price-to-quality method, while the remaining three follow the quality-to-price method. Among these identified functions, four functions employ objective evaluation criteria, such as thickness, capacity and operational loss. The other two functions utilize subjective evaluation criteria, such as the project’s design and technical specifications. Contract awarding will be based on either the highest score or the lowest bid, depending on the function type.

This study’s originality lies in exploring MSPs in the Sri Lankan public tender evaluation process and in disclosing their characteristics to promote the MSPs in Sri Lanka and developing countries.

Located at the place where excessive entitlement and the “best-loved self” intersect, this research illustrates what happens when the excessive entitlement of one educator trumps that of another. Then, in a perverse sort of way, those who are excessively entitled may even imply that the other is acting excessively entitled. This is how the “not getting your due is your due” theme emerged in the two exemplary cases that are spotlighted. Excessive entitlement is the belief that one's voice, opinion, and assessment hold more weight than others, whereas the best-loved self is the image to which educators ideally aspire. Given the contested nature of universities, it is not surprising that tensions occur around due – with due being the scholarly attention one legitimately expects to receive. The two featured narratives of experience present “amalgams of experience” lived in multiple academic contexts – with both narrative accounts not turning out as expected. The first story chronicles the choosing of an outstanding doctoral student for a prestigious award; the second one tells how a professor who received two national honors was celebrated at her institution. Through using narrative inquiry as both a research method and a form of representation, the researcher also was able to suggest how people might move beyond excessive entitlement. Narrative inquiry's well-known interpretive tools of fictionalization, broadening, burrowing, and storying and restorying, employed repeatedly throughout this chapter, produced deeper meanings and richer understandings that could result to more generous and informed actions for everyone involved.

This study aims to examine the effect of CEO compensation risk, as measured by the proportion of equity-based pay (option and stock awards) relative to total compensation and pay sensitivity to stock volatility, on CEO pay for luck asymmetry. This paper also empirically examines CEO compensation risk as a mediating variable between the regulatory changes and CEO pay for luck asymmetry.

This paper test the proposed two hypothesis that CEO compensation risk is positively associated with the degree of CEO pay for luck asymmetry; and the pay related regulations implemented around 2006 could mitigate the degree of CEO pay for luck asymmetry using the fixed-effects regression models.

Consistent with the managerial talent retention hypothesis, this paper finds that CEO compensation risk, as measured by the equity-based pay as a proportion of CEO total compensation and CEO pay sensitivity to stock volatility, is positively associated with the degree of CEO pay for luck asymmetry. In addition, this paper find that CEO pay for luck asymmetry is significantly reduced by the major regulatory changes on executive compensation implemented around 2006.

This study is among the very few studies exploring the impact of CEO compensation risk on pay for luck asymmetry in the literature. While the major purpose of the widely used stock options is to align executive interests and shareholder values, it also tends to increase the risk level of CEO compensation. So, a well-designed CEO pay package should protect risk-averse CEOs from bad luck for the retention purpose, which is also beneficial to shareholder wealth maximization. Therefore, future research on executive compensation needs to examine the issue from various perspectives.

For board of directors who is responsible for the compensation of CEOs, it is necessary to consider a broad range of factors when designing an optimal CEO pay package.

The findings on the impact of regulations on CEO pay for luck asymmetry suggest that the executive-pay-related regulations around 2006 have indeed achieved some of their intended goals to significantly lower pay for nonperformance asymmetry, whereby CEO pay sensitivity to stock volatility has been identified as a major mediating variable.

This study contributes to the literature on executive pay for luck asymmetry in several perspectives. First, this paper finds that CEO compensation risk has a positive impact on the degree of CEO pay for luck asymmetry. Second, this paper finds that the CEO pay for luck asymmetry has been mitigated after 2006 when various regulatory changes on executive compensation began to be implemented in the USA. To the best of the authors’ knowledge, this study is among the very few studies investigating these issues in the literature.

This study aims to examine whether sport companies that promote gender equality through femvertising, an advertising trend that empowers women and confronts gender stereotypes, actually support women’s rights with institutionalized approaches to challenge gender issues. Some sport brands even have won awards for their femvertising efforts, however, not all of them have modified their policies and programs to support gender equality. Sport femvertising can be a new area for CSR-washing and this study investigated this potential.

Utilizing a content analysis, this study compared sport brands' (award-winning vs non-award-winning) level of engagement in internal and external CSR activities regarding gender equality. Sport brands’ CSR attempts and number of women in leadership positions were analyzed through companies’ CSR reports, annual reports and websites.

Only few differences between two groups (award-winning vs non-award-winning) of sport brands were observed regarding their gender equality CSR engagement. In some cases, non-award-winning sport brands had a greater percentage of women in leadership and practiced more internal gender equality CSR.

This paper provides valuable information about the potential of femvertising as an advertisement, as well as CSR strategy. Results of this study broaden our understanding of how sport companies embraced this advertising/CSR technique and the repercussions. Findings provide guidance for sport marketers who seek to improve their brand image through femvertising.

Factors like bid price, submission time, and number of bidders influence the procurement process in public projects. These factors and the award criteria may impact the project’s financial compliance. Predicting budget compliance in construction projects has been traditionally challenging, but Machine Learning (ML) techniques have revolutionised estimations.

In this study, Portuguese Public Procurement Data (PPPData) was utilised as the model’s input. Notably, this dataset exhibited a substantial imbalance in the target feature. To address this issue, the study evaluated three distinct data balancing techniques: oversampling, undersampling, and the SMOTE method. Next, a comprehensive feature selection process was conducted, leading to the testing of five different algorithms for forecasting budget compliance. Finally, a secondary test was conducted, refining the features to include only those elements that procurement technicians can modify while also considering the two most accurate predictors identified in the previous test.

The findings indicate that employing the SMOTE method on the scraped data can achieve a balanced dataset. Furthermore, the results demonstrate that the Adam ANN algorithm outperformed others, boasting a precision rate of 68.1%.

The model can aid procurement technicians during the tendering phase by using historical data and analogous projects to predict performance.

Although the study reveals that ML algorithms cannot accurately predict budget compliance using procurement data, they can still provide project owners with insights into the most suitable criteria, aiding decision-making. Further research should assess the model’s impact and capacity within the procurement workflow.

Previous research predominantly focused on forecasting budgets by leveraging data from the private construction execution phase. While some investigations incorporated procurement data, this study distinguishes itself by using an imbalanced dataset and anticipating compliance rather than predicting budgetary figures. The model predicts budget compliance by analysing qualitative and quantitative characteristics of public project contracts. The research paper explores various model architectures and data treatment techniques to develop a model to assist the Client in tender definition.

With the change in climate and increased pollution, there has been a need to reduce environmental carbon emissions. This research aims to develop a framework for reducing environmental carbon footprints to improve business performance.

This study uses Scientific Procedures and Rationales for the Systematic Literature Reviews (SPAR-4-SLR) approach. Articles are searched in the Scopus database using various keywords and their combinations. It resulted in 651 articles initially. After applying different screening criteria, 61 articles were considered for the final study.

This study provided four themes and sub-themes within each category. This research also used theories, methodologies and context (TMC) framework to provide future research questions. This study used the antecedents, decisions and outcomes (ADO) framework for synthesising the findings. The ADO framework will help to achieve carbon neutrality and improve firms' supply chain (SC) performance.

This study provides theoretical implications by highlighting the various theories that can be used in future research. This study also states the practical implications for the achievement of carbon neutrality by the firms.

This study contributes to the literature linking carbon neutrality with business performance.

The case study aims to help students/learners to analyse the role of perception and its linkage to an entrepreneur’s decision-making process in setting up a social entrepreneurship venture during the COVID-19 pandemic without any prior entrepreneurial experience; understand the definition and meaning of social enterprises based on concepts/theories of social entrepreneurship; identify if AgriVijay fits the outline of a social enterprise based on its vision, challenges faced and journey as an agriculture-based technology-oriented social venture (AgTech SE); and outline the future path of AgriVijay as an independent business (post its incubation support period) using suitable strategy and funding models related to for-profit social enterprises.

This case study details the fascinating journey of a social AgTech venture – AgriVijay – through the perspectives of the protagonist Vimal Panjwani, a budding agri-business entrepreneur. Fuelled by a desire to empower the farming communities, Panjwani with the support of his dynamic mother, Shobha Chanchlani, embarked on the challenging task of crafting a business model that sought to merge community welfare with profitable enterprise. The case study illuminates the protagonist's background, revealing Panjwani’s motivations, risk-taking tendencies and the pivotal role played by his co-partner and mother, Chanchlani. It also highlights the challenges encountered by the protagonist in setting up a technology-based social entrepreneurship venture along with its success in making a social impact across marginalised farming communities. Through all this, the case study also highlights the major dilemma of the protagonist – that of continuing to balance AgriVijay’s core mission of “empowering the farmers” with profitability and long-term growth beyond its limited incubation support period, and his own dilemma of venturing into a social enterprise as a start-up venture without any prior entrepreneurial experience. The case study through its narrative encourages the readers/learners to understand the evolving dynamics of a nascent social entrepreneurial venture in a developing economy and how such a balanced model can actually be the harbinger of social impact and change in similar economies with large rural farming and marginalised communities.

The case study is most suitable for postgraduate management, weekend executive learning or distance learning students in agri business, sustainable business, social entrepreneurship and allied management domains. It can be used for teaching and learning topics related to entrepreneurship, new venture strategy, leadership and motivation, with a specific focus on agriculture business, agricultural entrepreneurship, social entrepreneurship and sustainable ventures.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

As Ratnam makes clear, a cultural–historical perspective on teacher/faculty excessive entitlement is indispensable if we are to use this concept to work with, rather than undermine, education practitioners. In this chapter, a networked relational model of activity is proposed as a tool for understanding excessive entitlement from a cultural–historical activity theory (CHAT) perspective, so that the transformative potential of both entitlement and the modeling of it may be harnessed. The networked relational model, which represents CHAT activity systems as a hand-draw or painted network of relationships between actors and artifacts, allows its creators, in their capacity as researchers or academics, to use it as an imaginative artifact in the Wartofskian sense. That is, by representing activity systems of academic performance as networks of interacting entities, the emergence of excessive entitlement can be traced to, and perhaps mitigated through the relationships that they represent. In this regard, the why, what, and how artifacts proposed by Engeström are taken up as useful means for enhancing the functioning of the networked relational model not just as a tool for analyses of entitlement but also a means for envisioning alternative countercultures into being.

This study aims to critically examine the implementation of green supply chain management (GSCM) practices in service organizations in Thailand.

This study observed 17 service organizations in the private, government, state and non-profit sectors. The multiple case study method was used, including semi-structured interviews, observations and documentation. The data were analyzed using content and thematic analysis methods. Abductive reasoning was used to explain new findings that do not align with prior theories.

A total of 13 of the 17 cases studied had environmental management systems (EMS). Four were GSCM-proactive and moving toward sustainable sufficiency by involving nearby communities in their service delivery. Although regulations and policies from their head offices were key pressures, leaders with high commitment and eco-awareness achieved outstanding success. Instances of greenwashing and fraud were evident among four non-adopters, one of whom was an environmental regulator.

This study acknowledges that leader commitment and high eco-awareness are the most powerful factors. However, the limited timeframe did not allow a deeper exploration of how to create a socially responsible leader. While the openness of information was evident from the best practitioners, non-adopters did not share any eco-certification or reports. They did not allow the researcher to contact other potential respondents apart from the arranged interview sessions. However, correct data were obtained when the answers were contradictory and one(s) told the truth.

A sustainable and sufficient service supply chain model and new equation were proposed, embracing stakeholders such as society, regulators and employees. Recommended practical strategies include green procurement, reduced utility use and reverse logistics (3Rs and 5Ss).

In the GSCM theory, while the manufacturing sector focuses on economics and the environment, green practices in the service sector address social concerns. This study establishes connections between four concepts: EMS-founded GSCM, leading to repeated use of materials in a circular economy (CE). CE is thus the pathway to reducing consumption and achieving real happiness through a sufficiency economy philosophy (SEP).