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Poor performance of India’s commercial banks, in the public and private sectors as well as those owned by foreign interests, has been a major concern of the policymakers. Their gross non-performing assets (NPAs), as a proportion of gross advances, were 10.2% as of March 2017, which is reported to have grown to 11.6% in March 2018. The public sector banks (PSBs) have a share of 70% of business, and the ratio of NPAs to gross advances is 15.6%. The Reserve Bank of India’s forecast is that the ratio for PSBs would rise to 17.3% by March 2019, of private banks to 5.3%, and of foreign banks to 4.8%. This chapter focuses on causal factors which comprise macroeconomic as well as bank-specific factors, influencing NPA. We undertake a panel approach by using 16 annual observations (from fiscal year 2000–2001 to 2015–2016) for three groups of banks by ownership: public, private, and foreign. The study findings reveal that the macroeconomic and bank-specific factors are important determinants.

To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based documents, there is little theoretical background guiding element selection, resulting in a limited content analysis problem. Another inherent problem is overspecialization. The purpose of this paper is to establish a value-based recommendation methodology for identifying favorable attributes, benefits, and values on the basis of means-end chain theory. The identified elements and the relationships between them were utilized to construct a recommender system without incurring either problem.

This study adopted soft laddering and content analysis to collect popular elements. The relationships between the elements were established by using a hard laddering online questionnaire. The elements and the relationships were utilized to build a hierarchical value map (HVM). A mathematical model was then devised on the basis of the HVM to predict user preferences of attributes.

The results of a performance comparison showed that the proposed method outperformed the content-based attribute recommendation method and a hybrid method by 39 and 68 percent, respectively.

Although hybrid methods have been proposed to resolve the problem of overspecialization in content-based recommender systems, such methods have incurred “cold start” and “sparsity” problems. The proposed method can provide recommendations without causing these problems while outperforming the content-based and hybrid approaches.

Previous empirical studies have not documented the link between vegetarians’ dietary constraints and travel intentions. Therefore, the purpose of this paper is to utilise a mixed-methods approach to examine the interrelationships of this group’s travel motivations, travel constraints, constraint negotiations and behavioural intentions, with special reference to how dietary constraints deter its members from travelling, and its extent.

An online questionnaire was administered to outbound Taiwanese vegetarian travellers (n=418), and this was followed by in-depth, semi-structured interviews (n=9) to complement the quantitative data.

The results indicated that vegetarians’ dietary constraints significantly deterred them from travelling in certain circumstances: notably, in the company of non-vegetarians. Nevertheless, it was found that some vegetarians efficiently negotiated their constraints and persisted in travelling, in some cases, by compromising their dietary preferences.

Travel agents and planners should explore more strategies to meet the needs of vegetarian travellers to increase this group’s travel satisfaction.

This study established the first theoretical model explaining the relationships among vegetarians’ travel motivations, dietary constraints, constraint negotiations and travel intentions.

In the reduction of food waste and the provision of food to the hungry, food banks play critical roles. However, as they are generally run by charitable organisations that are chronically short of human and other resources, their inbound logistics efforts commonly experience difficulties in two key areas: 1) how to organise stocks of donated food, and 2) how to assess the donated items quality and fitness for purpose. To address both these problems, the authors aimed to develop a novel artificial intelligence (AI)-based approach to food quality and warehousing management in food banks.

For diagnosing the quality of donated food items, the authors designed a convolutional neural network (CNN); and to ascertain how best to arrange such items within food banks' available space, reinforcement learning was used.

Testing of the proposed innovative CNN demonstrated its ability to provide consistent, accurate assessments of the quality of five species of donated fruit. The reinforcement-learning approach, as well as being capable of devising effective storage schemes for donated food, required fewer computational resources that some other approaches that have been proposed.

Viewed through the lens of expectation-confirmation theory, which the authors found useful as a framework for research of this kind, the proposed AI-based inbound-logistics techniques exceeded normal expectations and achieved positive disconfirmation.

As well as enabling machines to learn how inbound logistics are handed by human operators, this pioneering study showed that such machines could achieve excellent performance: i.e., that the consistency provided by AI operations could in future dramatically enhance such logistics' quality, in the specific case of food banks.

This paper’s AI-based inbound-logistics approach differs considerably from others, and was found able to effectively manage both food-quality assessments and food-storage decisions more rapidly than its counterparts.

Depression and other mental health disorders have a large impact on the quality of life and productivity of millions of individuals worldwide. For employers, mental health disorders are associated with increased health care costs as well as productivity losses in the form of absenteeism, short‐term disability absences and reduced on‐the‐job productivity‐known as presenteeism. The purpose of this paper is to review the association of worker productivity and mental health.

This review summarizes the literature on the prevalence of mental health conditions among working adults, and the association between these disorders and productivity. Finally, the impact of interventions or workplace policies on the productivity of those suffering with mental health conditions is covered and recommendations for employers are suggested.

Depressive disorders are relatively common in most workforces compared to other mental health conditions. The majority of studies on mental health and productivity have been conducted as part of nationwide surveys or in patient populations rather than worksites. The majority of studies show associations between mental health conditions and absenteeism (particularly short‐term disability absences). When presenteeism is measured by a validated questionnaire, results show that depression significantly impacts on‐the‐job productivity (presenteeism). Studies also indicate that the treatment expenditures for employees with depression may be offset by reductions in absenteeism, disability and on the job productivity losses.

Workplace policies and benefits which support employees suffering with mental health disorders and provide access to evidenced‐based care adhering to best practice guidelines may improve the quality of life of employees and lead to reduced absenteeism, disability and lost productivity.

This paper presents a comprehensive overview of the cross-disciplinary literature on the drivers, barriers and performance outcomes of sustainable packaging to understand the current state of research in this field and identify research opportunities.

A systematic review is conducted within no time limit. The Methodi Ordinatio methodology was applied that resulted in retaining 48 relevant and high impact articles published in 26 academic journals with various scopes.

Seven key drivers are identified and defined: the integrative and collaborative supply chain, environmental capabilities and resources, market-based instruments, cost reduction, consumer pressure, competitive advantage, and regulatory pressure. Three main barriers are identified and defined: cost/benefit ambiguity, additional costs and complex trade-offs between packaging requirements. The review shows that the drivers and barriers to packaging sustainability are contingent on the firm size. Sustainable packaging positively affects the environmental, social and economic performance; however, its operational performance requires a proactive and integrated supply chain. The results highlight the importance of integrated packaging decisions at three different levels to improve packaging sustainability: vertical and horizontal integration, upstream and downstream integration, and product-packaging integration. The authors developed research propositions and provided insightful directions for future research.

Most studies focus on specific drivers, barriers and outcomes of sustainable packaging, while this paper brings them together to build a comprehensive framework. The latter provides a deeper understanding of the factors that incentivize or deter firms from pursuing sustainable packaging and its performance outcomes.

In the age of the knowledge-based economy, innovation has become a significant factor in business competitiveness. The purpose of this paper is to explore the moderating effect of job satisfaction on the relationship between personality and employees' individual innovative behavior in the service industry.

The object of this research is the employee in service industry in Taiwan. A total sample of 626 employees in five service industry categories was taken in Taiwan's service industry. The descriptive statistical analyses and hierarchical regression were adopted.

The results show that job satisfaction positively affects individual innovative behavior, and also has moderating effect on personality traits and innovative behavior.

Innovative behavior is not only congenital, that can be stimulated by job satisfaction.