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To represent the effect of ‘human factors in total quality management (TQM) environment’ in terms of a single numerical index by considering their inheritances and interactions.

Various human factors affecting the TQM culture in an organization are identified and discussed for the sub factors affecting them. These factors are interacting with each other and their overall effect helps an organization in attaining TQM enabled needs. The paper attempts to represent the overall effect of human factors quantitatively by developing a mathematical model using graph theoretic approach. In this approach, interaction among identified human factors is represented through digraph, matrix model and a multinomial.

The extent of human aspects present in an organization, conducive to TQM culture is represented in terms of the “human index”. It provides an insight into the human factors at system and subsystem level. The developed procedure may be useful for self‐analysis and comparison among organizations.

Since, human behaviour is difficult to predict, so are the human factors. The paper considers general factors, which may vary depending on type of organization, size of organization and geographical location. There is a scope of research in factor specific organizations.

It provides a useful methodology for organizations to assess human aspects and improve upon therein. Procedure for stepwise application of methodology is given with example that may help an industry to implement it.

The paper attempts to quantify the intangibles through systematic approach and is of value to industries to improve upon their work environment.

The research community currently employs four very different versions of the social network concept: A social network is seen as a set of socially constructed role relations (e.g., friends, business partners), a set of interpersonal sentiments (e.g., liking, trust), a pattern of behavioral social interaction (e.g., conversations, citations), or an opportunity structure for exchange. Researchers conventionally assume these conceptualizations are interchangeable as social ties, and some employ composite measures that aim to capture more than one dimension. Even so, important discrepancies often appear for non-ties (as dyads where a specific role relation or sentiment is not reported, a specific form of interaction is not observed, or exchange is not possible).

Investigating the interplay across the four definitions is a step toward developing scope conditions for generalization and application of theory across these domains.

This step is timely because emerging tools of computational social science – wearable sensors, logs of telecommunication, online exchange, or other interaction – now allow us to observe the fine-grained dynamics of interaction over time. Combined with cutting-edge methods for analysis, these lenses allow us to move beyond reified notions of social ties (and non-ties) and instead directly observe and analyze the dynamic and structural interdependencies of social interaction behavior.

This unprecedented opportunity invites us to refashion dynamic structural theories of exchange that advance “beyond networks” to unify previously disjoint research streams on relationships, interaction, and opportunity structures.

Cloud services have become very popular among researchers and people recently. In such a scenario, identifying reliable cloud services has become very important. The trust value plays a significant role in recognizing reliable providers. The purpose of this paper is to propose a new method to evaluate the trust metric among the cloud providers. The main goal is to increase the precision and accuracy of the trust evaluation method in the cloud environments.

This paper evaluates the trust metric among the cloud providers and entities by grouping the services and using a behavioral graph. Four parameters, availability, reliability, interaction evolution and identity, are used for evaluating the trust value. The performance of the proposed method is assessed using a simulator which is programmed in the cloud Azure 2013 based on C# codes.

The method is evaluated through various experiments in terms of precision, recall, error-hit, reliability and availability. The obtained results show that the proposed method has better reliability and availability than the FIFO and QoS models. Also, the results show that increasing the number of groups leads to increasing values of trust, precision and availability, and decreasing values of error-hit.

This paper proposes a trust evaluation method in the cloud environment by grouping the services and using a behavioral graph for improving the amount of availability, error-hit, precision and reliability values.

Students with emotional and behavioral disorders (E/BD) present unique challenges to the families and educators supporting them. Even though families and educators report that behavioral issues can be identified by age 3 (Walker, Ramsey, & Gresham, 2004), the commonly used wait-and-see approach to intervening results in children with E/BD not receiving services until after the age of 10 (Park & Scott, 2009). By this time, behaviors have become chronic (Lewis, Jones, Horner, & Sugai, 2010) and educators primarily focus interventions on the child's social skills and behavioral deficits while there is a lack of focus on the student's academic needs (Lane, 2007). The purpose of this chapter is to review trends in E/BD research and practice that specifically focus on social emotional and academic interventions. While there is a strong history and direction for behavioral interventions for students with E/BD, researchers have only begun to investigate the academic learning needs of this population of students. The documented deficits in reading, writing, and mathematics for students with E/BD make it clear that further research is needed in these areas. The use of strategies including self-mediated, group/peer-mediated interventions, and explicit instruction may be effective teaching strategies across content areas. Initial studies show not only improved academic outcomes but also increases in positive behavior. The need for teachers and researchers to focus on the whole child, both the social emotional needs and the academic deficits, is imperative in order to improve the lives of children with E/BD.

The purpose of this paper is to investigate the lemming effect as a possible cause for the privacy paradox in information security.

Behavioural threshold analysis is used to test for the presence of the lemming effect in information security behaviour. Paradoxical behaviour may be caused by the influential nature of the lemming effect. The lemming effect is presented as a possible cause of the privacy paradox.

The behavioural threshold analysis indicates that the lemming effect is indeed present in information security behaviour and may lead to paradoxical information security behaviour.

The analysis of the lemming effect can be used to assist companies in understanding the way employees influence each other in their behaviour in terms of security. By identifying possible problem areas, this approach can also assist in directing their information security education endeavours towards the most relevant topics.

This research describes the first investigation of the lemming effect in information security by means of behavioural threshold analysis in practice.

The study aims to demonstrate that farmers' markets can represent a model of environmental, social and governance reference for modern agri-food systems facing the challenge of post COVID-19 pandemic reconstruction, responding to consumer expectations in terms of health, safety and wholesomeness of agri-food products.

A sample of consumers was surveyed in farmers' markets and social network analysis (SNA) was adopted as a methodological approach to reconstruct the links between the worlds of production and consumption and to derive the relative importance attributed to various factors that promote relational structures.

The work demonstrates the importance of sustainability – as a productive and behavioural model of firms – for the construction of efficient and durable relationship systems in two farmer markets in Sicily. In particular, four fundamental components emerge in the construction of networks represented by consumer sensitivity to sustainability processes, the individual behavioural model of purchasing and consumption, the expectation of political direction and the level and factors of knowledge of the firm. The clustering elements of the relationships were found to be the territory and local products, the environmentalist attitude and the protection of resources, as well as the adoption of a rational waste disposal policy, the fight against food waste, the encouragement of healthier and more sustainable consumption styles, clear and transparent communication and the activation of sustainable supply chain processes in line with the Sustainable Development Goals (SDGs).

The paper aims to demonstrate how alternative food systems can become a useful model for large enterprises, which are committed to rebuilding their business strategy to overcome the current crisis.

Energy-efficiency leads to productivity gains as it can lower operating and maintenance costs, increase production yields per unit of manufacturing input and improve staff accountability. Implementation of energy-efficient technologies amongst industries, the factors influencing them and the barriers to their adoption have been the subject of several studies during the past three to four decades. Though energy-use behaviours of individuals or households are sufficiently explored, industrial energy conservation behaviour is scarcely studied. This study identifies the relationship between the different behavioural elements to open up a door for behaviourally informed intervention research.

Total interpretive structural modelling technique was used to determine the relationship between different elements of the behaviour of energy managers. Expert responses were collected to understand the relationship between the behavioural elements, through telephone interviews.

The study identified the relationship between the behavioural elements and found imperfect evaluation as the key element with the highest driving power to influence other elements.

The authors postulate that a behaviourally informed intervention strategy that looks into the elements with high driving power such as imperfect evaluation, lack of focus on energy-saving measures and the lack of sharing energy-saving objectives can lead to: an increase in the adoption of energy efficiency measures and thereby a reduction in the energy efficiency gap; greater productivity gains and reduced greenhouse gas (GHG) emissions; Preparation of M&V protocol that incorporates behavioural, organisational and informational barriers.

Various policy level interventions and regulatory measures in the energy field which did not address the behavioural barriers are found unsuccessful in narrowing the energy-efficiency gap, reducing the GHG gas emissions and global warming. Understanding the key driving factor of behaviour can help to design an effective intervention strategy to address the barriers to energy efficiency improvement.

Understanding the key driving factor of behaviour can help to design an effective intervention strategy to address the barriers to energy efficiency improvement. This study argues that through the systematic analysis of the imperfect evaluation of energy audit recommendations, it is possible to increase the adoption of energy efficiency measures that can lead to greater productivity gains and reduced GHG emissions.

This paper investigates the impact of consumer relationships with brand communities on behavioral interactions on Instagram. The objective is to identify different types and stages of relationships between consumers and brand communities on Instagram using social penetration theory and explain the behavioral interactions of consumers resulting from these relationships across different stages.

A mixed method strategy was employed combining a qualitative multi-case study and an online survey. Eight individuals following restaurant and apparel brands on Instagram participated in the first study and 202 samples participated in the online survey.

Fifteen different types of relationships were identified between consumers and brand communities on Instagram and were classified into five stages ranging from orientation to de-penetration. The results reveal that behavioral interactions (i.e. consuming and participating) rise across the first four stages of brand community relationship development and fall down at the fifth stage.

This paper introduces new relationship types and stages and brings together different pieces of extant literature to explain the rising and falling of behavioral interactions resulting from consumer relationships with brand communities on Instagram.

The University Libraries at Virginia Tech have participated in each iteration of LibQUAL+™ beginning in 1999. This report focuses on the Virginia Tech experience, the results from the 2001 survey, and what was done with the findings. While most examinations of the survey data centered on determining results associated with feedback from three major constituent groups – undergraduates, graduate students, and faculty – an interesting gender difference across all types of users in the assignment of satisfaction scores was discernible.

The contributions of qualitative research to the study of behavioral–emotional disabilities, mild intellectual disabilities, and learning disabilities (the three types of high-incidence disabilities) are relatively recent and far from abundant. This chapter discusses qualitative, or “naturalistic” research by briefly examining the methodology used in such inquiry, reviewing many of the available studies concerning those with high-incidence disabilities, and providing implications from the existing empirical literature. It is not recommended that qualitative research takes the place of quantitative research in special education, but well-designed and executed naturalistic studies can contribute additional knowledge that is worthwhile to the field.