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In many security domains, the ‘human in the system’ is often a critical line of defence in identifying, preventing and responding to any threats (Saikayasit, Stedmon, & Lawson, 2015). Traditionally, such security domains are often focussed on mainstream public safety within crowded spaces and border controls, through to identifying suspicious behaviours, hostile reconnaissance and implementing counter-terrorism initiatives. More recently, with growing insecurity around the world, organisations have looked to improve their security risk management frameworks, developing concepts which originated in the health and safety field to deal with more pressing risks such as terrorist acts, abduction and piracy (Paul, 2018). In these instances, security is usually the specific responsibility of frontline personnel with defined roles and responsibilities operating in accordance with organisational protocols (Saikayasit, Stedmon, Lawson, & Fussey, 2012; Stedmon, Saikayasit, Lawson, & Fussey, 2013). However, understanding the knowledge that frontline security workers might possess and use requires sensitive investigation in equally sensitive security domains.

This chapter considers how to investigate knowledge elicitation in these sensitive security domains and underlying ethics in research design that supports and protects the nature of investigation and end-users alike. This chapter also discusses the criteria used for ensuring trustworthiness as well as assessing the relative merits of the range of methods adopted.

The purpose of this study is to find the connection between leader behaviour and employee sickness absence in public administration.

The research data was collected with the help of an online questionnaire. The SPSS statistical programme and structural equation modelling in AMOS were used to analyse the data.

The research was conducted in public administration institutions, and 3,220 employees from public administration were included in the research sample. The author found a negative one-way relationship between certain types of behaviour and sickness absence. The author defines leader behaviour as a multidimensional construct in which each dimension represents a separate cluster of leader behavioural characteristics. Leaders’ “progressiveness” is the most important dimension, and a one-point increase in “progressiveness” (five-point scale) leads to a reduction of 2.8 days in sickness absence for one employee.

The author focused only on one segment of factors (the behaviour of leaders) that affects sickness absence. To explain the maximum possible measure of the variability in sickness absence, it would be best to include several different influencing factors.

The study represents a structured model of the link between sickness absence and leader behaviour. With the model, it is possible to determine which behavioural forms of leaders influence sickness absence, where leader behaviour is treated as a complex whole, and not as an individual behavioural characteristic.

The study addresses calls for research on the relationship between leader behaviour and employee sickness absence within countries.

The purpose of the paper is to present an empirical study on the logistics innovation capability and its impacts on the supply chain risk in the Australian courier firms. Based on the resource-based review, logistics innovation capability provides valuable insight into mitigating supply chain risks in the Industry 4.0 era.

The research model focuses on the relationships between logistics innovation capability and supply chain risk. Partial least squares approach for structural equation modelling is used to validate the research model by empirically analysing survey data.

The empirical result shows negative relationships between logistics innovation capability and supply chain risks. These relationships may imply that firms can mitigate the negative impacts of supply chain risks by developing logistics innovation capabilities. The findings demonstrate the applicability of logistics innovation capability for mitigating supply chain risks in the Australian courier firms.

There are very few empirical studies on the mitigating supply chain risk through logistics innovation capability. The empirical results provide an insight into innovation management and risk management in logistics and supply chain. This insight offers practical guidance for developing and deploying logistics innovation capability to support and enable supply chain risk management strategies in the Industry 4.0 era.

Circular economy (CE) initiatives are taking hold across both developed and developing nations. Central to these initiatives is the reconfiguration of core supply chain management (SCM) processes that underlie current production and consumption patterns. This conceptual article provides a detailed discussion of how supply chain processes can support the successful implementation of CE. The article highlights areas of convergence in hopes of sparking collaboration among scholars and practitioners in SCM, CE, and related fields.

This article adopts a theory extension approach to conceptual development that uses CE as a “method” for exploring core processes within the domain of SCM. The article offers a discussion of the ways in which the five principles of CE (closing, slowing, intensifying, narrowing, dematerialising loops) intersect with eight core SCM processes (customer relationship management, supplier relationship management, customer service management, demand management, order fulfilment, manufacturing flow management, product development and commercialization, returns management).

This article identifies specific ways in which core SCM processes can support the transition from traditional linear approaches to production and consumption to a more circular approach. This paper results in a conceptual framework and research agenda for researchers and practitioners working to adapt current supply chain processes to support the implementation of CE.

This article highlights key areas of convergence among scholars and practitioners through a systematic extension of CE principles into the domain of SCM. In so doing, the paper lays out a potential agenda for collaboration among these groups.

There are many studies supporting that logistics service quality affects on customers satisfaction and these satisfied customers have a strong repurchase intention in consumer products. However, a few studies involving Industrial products examined these relationships. Therefore, the main purposes of this study are (1) to empirically examine logistics service factors influencing on the customers’ satisfaction and repurchase in industrial purchasing, (2) to clarify the differences of service factors between customers satisfaction and repurchase in industrial purchasing process, and (3) to analyze the influence of these factors on the customers’ satisfaction depending on the size of company. As a result of an analysis of survey data, this study found the followings. (1) the factors affect customer satisfaction and the factors affect repurchase intention are different from each other; 5 factors (timeliness, order quality, personnel intimacy, personnel quality, order release quantities) for customer satisfaction and 6 factors (timeliness, order period, personnel quality, order quality, information factor, order release quantities) for repurchase intention. (2) the relationship between order release quality factor and customer satisfaction was differ depending on the company size. The large companies showed a stronger relationship than the smaller company did. (3) the positive linear relationship between customer satisfaction and repurchase intention was identified also in industrial purchasing.

Supply chain (SC) professionals and their competence play a key role in creating value and competitive advantage for companies. A considerable amount of this competence is developed at work, but little is known about how this takes place. Drawing on constructivist learning theory, the authors investigate how SC professionals develop their competence at work.

The study takes off from a theoretical framework of workplace learning mechanisms, followed by a series of in-depth interviews with an expertise panel of profoundly competent and experienced SC professionals.

The results provide detailed insights into the learning process of SC professionals. The key findings show that SC professionals use a wide range of learning mechanisms throughout their careers, and that the contribution and complexity of these mechanisms differ and change dynamically with seniority. The findings also show that learning mechanisms should not be viewed as isolated phenomena, but closely related to every-day SCM work as well as learning attitude.

By conceptualizing learning as a process, and congregating the fragmented literature into a framework of workplace learning mechanisms, this research provides a theoretical reference point for future studies. The empirical findings bring a new level of detailed knowledge on how SC professionals learn at work.

The results can assist SC professionals, HR managers and academic program leaders in their quest to develop competence in the field of SCM.

This paper makes a unique contribution to the human aspects of SCM literature by presenting the first study that investigates in depth the crucial but complex process of how workplace learning takes place for SC professionals in practice.

Health apps offer a potential approach to support healthier food behaviours but a lack of sufficient engagement may limit effectiveness. This study aims to use a user engagement theoretical lens to examine the factors that influence app engagement over time and may prompt disengagement.

A phenomenological exploration of the lived experience was used. Women from a lower socioeconomic background (based on the occupation and employment status of the household’s primary income earner) were randomly assigned to use one of two apps for a minimum of eight weeks. Multiple data collection methods, including accompanied shops, researcher observations, interviews, participant reflective accounts and questionnaires, were used at different time-points to examine engagement. Theoretical thematic analysis was conducted to explore the engagement experience and relevant social, personal and environmental influences.

Healthy food involvement appears to drive app engagement. Changes in situational involvement may contribute to fluctuation in engagement intensity over time as the saliency of personal goals change. Negatively valenced engagement dimensions may contribute to the overall expression of engagement. A lack of congruency with personal goals or an imbalance between perceived personal investment and value was expressed as the primary reasons for disengagement.

Situational involvement may act as a trigger of different engagement phases. There is a need to better distinguish between enduring and situational involvement in engagement research.

Individual characteristics may shape engagement and propensity for disengagement, which highlights the practical importance of incorporating tailored features into app design.

Findings broaden the current conceptualisation of engagement within the digital space and prompt a reconsideration of the role of situational involvement and negatively valenced dimensions throughout the engagement process.

The purpose of this article was to provide an outline of the citation practices of “Evolving to a new dominant logic for marketing” by Vargo and Lusch (2004) to identify and discuss the most prominent research topics in which citations were used and to suggest future research based on the results of the analysis.

The authors used a comprehensive framework of citation practices based on iterations of previous literature to analyze the relevant literature, which they identified by accessing, systematically and rigorously, every available contribution matching a set of criteria. The authors then categorized these contributions and highlighted the main topics of research interest in each category.

The findings identify some of the factors in the continuous development of SDL, the way this new marketing logic permeated the scientific debate, the infusion of Vargo and Lusch (2004) into several contributions framed in the new logic or justified through it, and a general perception of a default reference. Additionally, the findings highlight the main topics of research interest in each category.

The analysis enabled the detection of the original paper's influence through advances in service studies, pollination into other fields of research and continuous scientific debate. The authors have highlighted several avenues for research and proposed future research directions.

This research analyzed the effects of the spread of the SDL cornerstone article and emphasized the advantage of using an in-depth approach to the analysis of studies through a framework applied to more than 4,600 studies.

A way that companies have found to respond to the challenges of customer satisfaction (CS) is the development logistics services quality. In this sense, the purpose of this paper is to estimate the quality of logistical service as a mediator factor in the relationship between logistics capabilities (LC) and CS. For this, an exploratory survey of the descriptive type was carried out with 117 companies in the Brazilian market of lubricant oil. The collected data, modeled in structural equations, have shown evidence that the quality of logistics services totally mediates the relation between the LC and the satisfaction of clients.

In order to respond to the research problem and to meet the stated objective, a study was carried out in two phases. The first used an exploratory qualitative design, and involved recorded in-depth interviews with five clients and five managers of a lubricant oil producer located in the municipality of Umuarama and nearby areas in Paraná state, Brazil. The second used an exploratory survey of the descriptive type was carried out with 117 companies in the Brazilian market of lubricant oil.

The collected data, modeled in structural equations, have shown evidence that the quality of logistics services totally mediates the relation between the LC and the satisfaction of clients.

It is suggested that new studies be conducted in order to increase the size of the sample, since the number of responses obtained (117 respondents), for the number of initial variables (34 measures).

In the pursuit of CS, the managers of lubricant oil producers should make major investments in LC, to enable the company to be active in the search for logistics solutions, integration and provision of reliable information to its customers.

The studies should also be carried out in other market segments, in order to compare the results obtained in the lubricating oil segment of Brazil and corroborate knowledge about the influence of logistical capabilities on the relation between logistics service quality and CS.

The logistics services quality perceived by the customers is derived from the service capacity of the producer’s employees and the quality of information provided to the customers.

Sarcasm is a linguistic expression that usually carries the opposite meaning of what is being said by words, thus making it difficult for machines to discover the actual meaning. It is mainly distinguished by the inflection with which it is spoken, with an undercurrent of irony, and is largely dependent on context, which makes it a difficult task for computational analysis. Moreover, sarcasm expresses negative sentiments using positive words, allowing it to easily confuse sentiment analysis models. This paper aims to demonstrate the task of sarcasm detection using the approach of machine and deep learning.

For the purpose of sarcasm detection, machine and deep learning models were used on a data set consisting of 1.3 million social media comments, including both sarcastic and non-sarcastic comments. The data set was pre-processed using natural language processing methods, and additional features were extracted and analysed. Several machine learning models, including logistic regression, ridge regression, linear support vector and support vector machines, along with two deep learning models based on bidirectional long short-term memory and one bidirectional encoder representations from transformers (BERT)-based model, were implemented, evaluated and compared.

The performance of machine and deep learning models was compared in the task of sarcasm detection, and possible ways of improvement were discussed. Deep learning models showed more promise, performance-wise, for this type of task. Specifically, a state-of-the-art model in natural language processing, namely, BERT-based model, outperformed other machine and deep learning models.

This study compared the performance of the various machine and deep learning models in the task of sarcasm detection using the data set of 1.3 million comments from social media.