Search results

Justice rules are standards that serve as criteria for formulating fairness judgments. Though justice rules play a role in the organizational justice literature, they have seldom been the subject of analysis in their own right. To address this limitation, we first consider three meta-theoretical dualities that are highlighted by justice rules – the distinction between justice versus fairness, indirect versus direct measurement, and normative versus descriptive paradigms. Second, we review existing justice rules and organize them into four types of justice: distributive (e.g., equity, equality), procedural (e.g., voice, consistent treatment), interpersonal (e.g., politeness, respectfulness), and informational (e.g., candor, timeliness). We also emphasize emergent rules that have not received sufficient research attention. Third, we consider various computation models purporting to explain how justice rules are assessed and aggregated to form fairness judgments. Fourth and last, we conclude by reviewing research that enriches our understanding of justice rules by showing how they are cognitively processed. We observe that there are a number of influences on fairness judgments, and situations exist in which individuals do not systematically consider justice rules.

Research on layoff victims reports that interactional justice judgments influence important work‐related attitudes, such as organizational commitment. In this paper, we build on this emerging literature through an examination of the role that both interactional justice and organizational support have in explaining the organizational commitment of 147 layoff victims at a major manufacturing plant. The results of structural equation analyses supported our hypothesis that organizational support mediates the relationship between interactional justice and organizational commitment.

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

From earliest times the land and all it produced to feed and sustain those who dwelt on it was mankind's greatest asset. From the Biblical “land of milk and honey”, down through history to the “country of farmers” visualised by the American colonists when they severed the links with the mother country, those who had all their needs met by the land were blessed — they still are! The inevitable change brought about by the fast‐growing populations caused them to turn to industry; Britain introduced the “machine age” to the world; the USA the concept of mass production — and the troubles and problems of man increased to the present chaos of to‐day. There remained areas which depended on an agri‐economy — the granary countries, as the vast open spaces of pre‐War Russia; now the great plains of North America, to supply grain for the bread of the peoples of the dense industrial conurbations, which no longer produced anything like enough to feed themselves.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.

“Consumerism”, for want of a better description, is given to the mass of statutory control (which shows no sign of declining) of standards, trading justice to the consumer, means of redress to those who have been misled and defrauded, advice to those in doubt; and to the widespread movement, mostly in the Western world, to achieve these ends.

Long before calories and joules were used to indicate energy values in relation to food, popular belief had it that some foods could increase man's output of labour, his physical strength and endurance, even his fertility. The nature of the foods varied over the years. From earliest times, flesh foods have inspired men to “gird their loins” and “put on armour”, but too long at the feasting tables produced sloth of body and spirit. Hunger sharpens the wit, which makes one wonder if that oft‐quoted statement of poverty and hunger before the Great War—“children too hungry learn”—was quite true; it is now so long ago for most of us to remember. Thetruism “An army marches on its stomach” related to food in general and relating feats of strength to individual foods is something more difficult to prove. The brawny Scot owes little to his porridge; the toiling Irish labourer moves mountains of earth, not from the beef steaks he claims to consume, but for the size of the pay‐packet at the end of the week!

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

The analyses of trends in prosecutions under the Food and Drugs Act, 1955 and the various regulations, which we have prepared every two years or so, covering a three‐month period, have been so much appreciated by readers, both in the administration and the industry itself, that we have prepared a more extended survey, covering the whole of 1966. The survey, as before, takes the form of a month‐by‐month analysis of reports of legal proceedings received by us from all parts of the country, and as formerly records the prosecutions under similar groupings; cases under Section 2, subdivided into those relating to compositional offences, the presence of foreign bodies and those relating to mouldy food: false description cases under Section 6 of the Merchandise Marks Acts; Section 8, the unfit food provision, also subdivided with special categories for foreign bodies and mouldy food; Section 32, milk cases; cases under the Food Hygiene Regulations, 1960, with smoking offences separated; the Milk and Dairies Regulations, consisting almost entirely of prosecutions under Reg. 27, Meat Regulations, Preservative Regulations, Colouring Matter in Food Regulations, etc.