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Past studies have proved the effect of justice on performance. However, the findings across studies have been inconsistent and there remains a substantial unexplained variance between the constructs. Therefore, justice researchers urge for further exploration of the underlying mechanism of the relationship by introducing influencers. This study responds to such call of the researchers by testing the influence of organizational identification (OID) on the justice-performance relationship in the context of Indian Public Sector Units (PSUs).

The study is grounded in the positivism philosophy. The research hypotheses were tested using cross-sectional data gathered using a pre-tested questionnaire. In this study, the authors have used covariance-based structural equation modeling commercial software (AMOS 24.0).

OID did not mediate the relationship between justice facets and performance. Rather, informational justice, followed by procedural and distributive justice had direct positive influences on performance. OID, however, moderated the procedural justice-performance such that the relationship strengthened at higher levels of OID and the interpersonal justice-performance relationship such that the relationship dampened at higher levels of OID. Interestingly, the relationship between interpersonal justice and performance was insignificant in the absence of the moderator, showcasing the strongest case of moderation.

The paper explores OID as an influencer to justice-performance relationship in Indian PSU context for the very first time, thereby highlighting unique finings. It contributes to the further understanding of the unexplained variance in the justice-performance relationship.

GraphQL is a new Open API specification that allows clients to send queries and obtain data flexibly according to their needs. However, a high-complexity GraphQL query may lead to an excessive data volume of the query result, which causes problems such as resource overload of the API server. Therefore, this paper aims to address this issue by predicting the response data volume of a GraphQL query statement.

This paper proposes a GraphQL response data volume prediction approach based on Code2Vec and AutoML. First, a GraphQL query statement is transformed into a path collection of an abstract syntax tree based on the idea of Code2Vec, and then the query is aggregated into a vector with the fixed length. Finally, the response result data volume is predicted by a fully connected neural network. To further improve the prediction accuracy, the prediction results of embedded features are combined with the field features and summary features of the query statement to predict the final response data volume by the AutoML model.

Experiments on two public GraphQL API data sets, GitHub and Yelp, show that the accuracy of the proposed approach is 15.85% and 50.31% higher than existing GraphQL response volume prediction approaches based on machine learning techniques, respectively.

This paper proposes an approach that combines Code2Vec and AutoML for GraphQL query response data volume prediction with higher accuracy.

This case should facilitate participants to analyze the influence of internal and external factors on a growing company in the dairy, agro and food industries; analyze the drivers of a company’s competitive advantage; evaluate the relevance of the company in the new product-markets; and propose growth strategies for the expansion of the business beyond the core markets.

Gyan Dairy began its journey in 2007 and operated in the business-to-business segment by supplying skimmed milk powder and white butter to other dairy players. Then, the company launched its packaged milk brand in Lucknow – the capital city of Uttar Pradesh – one of the largest provinces in India. By the end of 2020, Gyan was the leading private dairy brand in Uttar Pradesh. The company’s vision was to become one of the top dairy brands in India by 2035. While deliberating on the growth choice, the company’s senior management debated whether to strengthen the company’s position in the existing markets or expand operations in adjacent locations. Increasing market share would have led to price wars or advertising costs. Diversifying into product categories involved the risk of product–market misfit and new product development and marketing costs. However, pursuing these options would further strengthen the company’s position in the North Indian market. Expanding into new locations would help establish the company’s presence across different parts of India. However, both these options were replete with various challenges. Expanding into new markets needed one of the promoters of the Gyan Diary, to relocate, build new markets and institutional connections and build a completely new localized economy of scale, which would create a financial burden on existing operations until the new operation was self-sustainable. However, in this journey, they would find and build a model to help expand their operations in other countries as well. Ideally, the company could pursue all the options, but this was not possible due to constrained resources.

This case allows students to discuss and evaluate alternate growth options associated with operationalizing the growth strategy choices in perishable branded food categories beyond existing markets and products. In addition, it also helps discuss how to arrive at such decisions after analyzing the focal firm’s market opportunities and existing capabilities. This case is helpful for the “growth strategy” module in the strategic management core course in a general MBA program and in specialized MBA programs in food and agri-business management.

This case is suitable for graduate-level courses on strategic management courses in general management programs and agri-business management programs. In a strategic management course, the case will help cover topics such as analysis of the internal and external environment of the firm and growth and expansion strategies. This case will help teach how to build competitive advantage in dairy and agro-food industries and the strategic analysis needed while pursuing growth decisions. Emerging markets, including India, are the growth markets for leading multinational companies in the food and dairy industries.

Teaching notes are available for educators only.

CSS 11: Strategy.

This chapter analyzes the campaign against race norming in the 2013 National Football League (NFL) concussion settlement that caregivers of retired players designed, and it considers how their collective action throws new light on activism in sport. While there is a substantial literature on how individual athletes engage in protest, less work has focused on how families – partners, children, siblings, and parents – of athletes organize as a group to answer back to anti-Black racism in professional sport. I argue that a group of spouses used their position as caregivers to shame the NFL, the presiding judge of the settlement, Class Counsel, and even the Department of Justice into acknowledging not only individual suffering from traumatic brain injury but also of the distribution of that suffering across households. Specifically, the wives group expanded definitions of risk and damage to include not only individual illness but also family and group suffering and demanded inclusion of gendered and racialized aspects of social care. Through their campaign, the group recast what is considered protest in the world of sport and who has the ability to access an activist subjectivity.

Despite the fact that research on creativity and cognition have garnered the attention of researchers and practitioners for decades, there is a lack of valid, reliable, and accessible instruments for enhancing and measuring these critical skills. Leveraging research from The LEGO Foundation and in collaboration with BrainPOP and the Learning Economy Foundation, this paper introduces an assessment framework for holistic skills and reports evidence from the 2022 validation study.

The complexities associated with both competencies such as multidimensionality, authenticity, and domain specificity pose a major issue for its measurement and credentialing. This paper provides evidence-based insights on promising ways to measure and provide actionable insights on holistic skills.

Preliminary evidence supports the assessment framework for holistic skills.

Future directions for further development of the assessment are discussed.

The framework should also be of help for practitioners looking for research-based guiding principles for the design of learning-through-play activities aimed to help develop holistic skills across a wide range of digital, physical, and hybrid modalities.

The framework provides new instruments and insights for evaluating the social and educational impact of learning-through-play programs and initiatives.

The learning progressions and formative assessment for holistic skills development are novel and clearly needed in research and practice of learning-through-play.