Search results

In this paper, we present a proposed information environment (PROPIE) for enhanced interaction and value‐adding of electronic documents (e‐documents). The design of PROPIE was based on a thorough user needs and requirements assessment in interacting with information through well‐documented findings, and a focus group with twelve participants to elicit features that were deemed desirable in future interactions. The design was also based on an earlier work which reviewed the advancements in various user interface (UI) technologies, visualisation and interactive techniques, and a consideration of novel information structuring and organisation techniques that pose important implications for the design of more advanced UIs. Providing a suite of novel features and interactive tools that can be flexibly combined, PROPIE allows users to apply multiple novel ways to query intuitively and navigate information in an e‐document. The querying and browsing processes in PROPIE are supported by various interactive and visualisation techniques. Users work within a visually sovereign, integrated environment for information gathering and organising, based on navigable, fractional information objects that are also affiliated with rich metadata and additional layers of value‐adding information. A set of interface mock‐ups was developed to demonstrate the potential of the environment in supporting the design of a new generation of electronic journals (e‐journals). We report here empirical results from a study conducted to obtain representative users‘ feedback with regard to using PROPIE for interacting with e‐journals. Twenty‐two participants from a variety of academic backgrounds participated in the evaluation. Overall, PROPIE was found to have the potential both for enhancing the user’s interaction with information captured within e‐journals and for adding value to e‐documents in various ways.

The purpose of this paper is to reduce the post-harvest loss occurring through respiration and CO₂ emission produce by the selected produces, during logistics. This paper proposes a supply chain (SC) structure for the Indian traditional agriculture SC planning model to reduce post-harvest loss and mixed closed transportation to reduce CO₂ emission.

The Indian agriculture SC structure is modeled and solved by genetic algorithm using a MATLAB Optimization toolbox. The respiration rate is measured by a static method. These values are applied in an SC planning model and the post-harvest loss and its corresponding CO₂ emission are estimated.

This paper proposes a supply structure for the Indian traditional agriculture SC to reduce the post-harvest loss; the experiments measured the respiration rate to estimate the CO₂ emission. The mixed closed transportation method is found to be suitable for short-purpose domestic transportation.

The optimized supply structure leads to unemployment through eliminating the intermediaries. Therefore, further research encourages the conversion of intermediaries into hub instead of eliminating them.

This paper includes implications for the development of Indian traditional agriculture SC by an optimized supply structure and novel transportation method for the selected agriculture produces based on compatibility.

This paper identified that the agriculture produces respiration can also emit the CO₂. The closed transportation method can reduce the CO₂ emission of produces respiration than traditional open transportation.

The purpose of this article is to understand how academics in management deal with the concept of generation in the workplace. We begin by conducting an interdisciplinary literature analysis, thereby elaborating a conceptual framework concerning generational diversity. This framework consists of four levels of analysis (society, career, organisation and occupation) and three dimensions (age, cohort and event/period). We then conduct a meta-analysis using this conceptual framework to analyse papers from the management field. The results from this analysis reveal the existence of a diversity of generational approaches, which focus on the dimensions of age and cohort on a societal level. Four factors seem to explain these results: the recent de-synchronisation of generational dimensions and levels, the novelty of theoretical models, the amplification of stereotypes by mass media and the methodologies employed by researchers. In sum, this article contributes to a more realistic view of generational diversity in the workplace for both academics and practitioners.

Qualitative data analysis requires methodological knowledge and intellectual competence. Analysis is not about adhering to any one correct approach or set of right techniques; it is imaginative, artful, flexible, and reflexive. It should also be methodical, scholarly, and intellectually rigorous. (Coffey and Atkinson, 1996, p.1.

For tourism, significant research has been conducted in industry‐specific marketing. Basically, the topic of discussion is the effectiveness and efficiency of the marketing of destinations. As marketing segmentation is one of the most critical parts of any marketing strategy, the authors believe that a customer segmentation by motivations via an activity‐based approach will increase the destination's marketing impact. This study aims to backtrack travel motivations from tourist behaviour which can be observed i.e. the activities they performed. The idea is to find out which motivations to target marketingwise that attract tourists who in turn fit the destination's attraction potential, and activity‐offering competencies. In order to test the hypothesis, a contingency analysis was employed using data from the Swiss travel market. By exploiting the linkage between motivations and activities, the authors have found 34 significant activities, 15 of which can be exclusively linked to a traveller motivation.

We develop a conceptual model, based on person-environment fit theory, which explains how employee age affects occupational strain and well-being. We begin by explaining how age directly affects different dimensions of objective and subjective P-E fit. Next, we illustrate how age can moderate the relationship between objective P-E fit and subjective P-E fit. Third, we discuss how age can moderate the relationships between P-E fit, on one hand, and occupational strain and well-being on the other. Fourth, we explain how age can impact occupational strain and well-being directly independent of P-E fit. The chapter concludes with implications for future research and practice.

Workplace voice is well-established and encompasses behaviors such as prosocial voice, informal complaints, grievance filing, and whistleblowing, and it focuses on interactions between the employee and supervisor or the employee and the organizational collective. In contrast, our chapter focuses on employee prosocial advocacy voice (PAV), which the authors define as prosocial voice behaviors aimed at preventing harm or promoting constructive changes by advocating on behalf of others. In the context of a healthcare organization, low quality and unsafe patient care are salient and objectionable states in which voice can motivate actions on behalf of the patient to improve information exchanges, governance, and outreach activities for safer outcomes. The authors draw from the theory and research on responsibility to intersect with theories on information processing, accountability, and stakeholders that operate through voice between the employee-patient, employee-coworker, and employee-profession, respectively, to propose a model of PAV in patient-centered healthcare. The authors complete the model by suggesting intervening influences and barriers to PAV that may affect patient-centered outcomes.