Factors Influencing Attendees’ Engagement with Group Psychoeducation: A Multi-stakeholder Perspective

Few studies have explored the problem of engagement in relation to group psychoeducation from a multi-site and multi-stakeholder perspective. The aim of the study was to explore the factors influencing service user and family engagement with group psychoeducation programmes. The study design was qualitative descriptive. Data were collected through individual and focus group interviews with key stakeholders (n = 75) involved with the programme within 14 mental health sites in the Republic of Ireland. Enablers and barriers to engagement were identified at participant, provider, programme and organization level. Motivated participants and engaged clinicians, peer co-facilitation and support, and skilled and responsive facilitators were some of the factors which enhanced engagement. Barriers to engagement included readiness among participants, concerns related to stigma and confidentiality, desire to distance oneself from mental health services, a lack of support for programme participation within families, group discomfort, the time and length of the programme, issues with transport, visibility of the programme, and structural supports for clinicians. Findings from the study illustrate the multifaceted nature of engagement as well as provide a greater understanding of the multifactorial influences on engagement. Strategies to enhance engagement should therefore reflect a multipronged approach. At the outset of programme implementation, organizations should address their readiness to engage, conduct local needs assessments to anticipate individuals’ needs and plan accordingly in order to maximize engagement, and bolster facilitators’ engagement skills through the provision of training and mentoring opportunities.

A Multiple Stakeholder Perspective on the Drivers and Barriers for the Implementation of Lifestyle Monitoring using Infrared Sensors to Record Movements for Vulnerable Older Adults Living Alone at Home: A Qualitative Study

A variety of technologies classified as lifestyle monitoring (LM) allows, by unobtrusive monitoring, for supporting of living alone at home of vulnerable older adults, especially persons with neurocognitive disorders such as dementia. It can detect health deterioration, facilitate early intervention, and possibly help people avoid hospital admission. However, for LM to redeem its intended effects, it is important to be adopted by involved stakeholders such as informal and formal caregivers and care managers. Therefore, the aim of this qualitative study is to understand factors that drive or impede successful implementation of LM for vulnerable older adults, specifically using infrared sensors to record movements, studied from a multiple stakeholder perspective. An open coding process was used to identify key themes of the implementation process. Data were arranged according to a thematic framework based on the normalization process theory (NPT). All stakeholders agreed that LM could lead to various health benefits for older adults using LM. However, some did not perceive the LM system to be cost-efficient and expressed a need for more flexible health care structures for LM to be successfully implemented. All stakeholders acknowledged the fact that LM requires a transition of care and responsibilities, a clear eligibility strategy for clients, and a clear ambassador strategy for health care professionals, as well as reliable technology. This study highlights the complex nature of implementing LM and suggests the need for alignment within constructs of the NPT among stakeholders about new ways of collaboration in supporting living alone at home.

An Empirical Study on the Precise Employment Situation-Oriented Analysis of Digital-Driven Talents with Big Data Analysis

This paper conducts an in-depth research analysis on the precise employment of college graduates in the context of big data using a number-driven approach. The textual information of the study is obtained by using in-depth interviews, and the evaluation index system of college students’ employment quality is constructed by combining the step-by-step coding method with rooting theory. The research on the current situation of employment recommendation platform research and the application status of big data in the employment recommendation platform is explored by using a bibliometric approach. And the innovative use of web crawler technology is used to comprehensively understand the recommendation function and status quo of the same type of recommendation platform, which provides a reference for the research of this platform. Based on the preliminary analysis of platform requirements and overall design, the overall design and functional implementation of the big data employment recommendation platform are carried out by using big data crawler technology, big data architecture technology, text mining technology, database technology, etc. The construction of a recommendation module based on user history information, a recommendation based on real-time user online behavior data, and hybrid recommendation carried out on the recommendation module to grasp all-round the platform is built based on a stakeholder perspective. Based on the platform construction, the initial platform operation and maintenance management mechanism was established from the stakeholder’s perspective. The Pearson correlation coefficient is used to objectively evaluate the current situation of talent supply in universities and talent demand in enterprises from the perspective of image and data. In the research on the development status of the big data education industry, the Lorenz curve and Gini coefficient are used to match the status of new big data majors with their college construction volume in each province and provide data support for the reasonable adjustment of majors setting in each province according to the education level.

Why enterprise resource planning initiatives do succeed in the long run: A case-based causal network

Despite remarkable academic efforts, why Enterprise Resource Planning (ERP) post-implementation success occurs still remains elusive. A reason for this shortage may be the insufficient addressing of an ERP-specific interior boundary condition, i.e., the multi-stakeholder perspective, in explaining this phenomenon. This issue may entail a gap between how ERP success is supposed to occur and how ERP success may actually occur, leading to theoretical inconsistency when investigating its causal roots. Through a case-based, inductive approach, this manuscript presents an ERP success causal network that embeds the overlooked boundary condition and offers a theoretical explanation of why the most relevant observed causal relationships may occur. The results provide a deeper understanding of the ERP success causal mechanisms and informative managerial suggestions to steer ERP initiatives towards long-haul success.

The Business Case for Sustainability

In this chapter, I discuss how companies address sustainability challenges. First, the chapter begins with examples of different corporate approaches to taking responsibility for sustainability. Second, I explore how companies are viewed from the stakeholder perspective, so how others outside the company view the managers’ motivations for engaging in corporate responsibility. Although most companies are still motivated by risk reduction and/or marketing in their sustainability work, this chapter will reframe the motivations into something more positive—a business opportunity. Four cases will be presented, Nike, Arthur Andersen, Volkswagen, and companies involved in the Rana Plaza tragedy, and the companies’ approaches relative to the following strategies will be discussed: reacting, defending, accommodating, and, finally, a proactive approach in which a business’s profitability is anchored in sustainability. The chapter will conclude with reflections on business models for sustainability.

Stakeholders’ perceptions of competitive tourism destination: empirical evidence from Serbia

Purpose This study made an advance over previous work by providing a modified model for measuring the competitiveness of tourism destinations based on competitive performance from a stakeholder perspective. Furthermore, this paper aims to evaluate the sources of relative strengths and weaknesses perceived of a destination. Design/methodology/approach This study uses a quantitative approach to seek opinions of 135 tourism stakeholders. Univariate and bivariate statistical analyses were used to describe the profile of the respondents, quantify the main findings and test the proposed hypotheses. Findings The results highlight the importance of safety in determining the attractiveness of a destination and its significance for the competitiveness of a destination. The strongest indicator of competitiveness is “Core resources and attractions,” while the weakest indicator is “Destination management.” Also, employees in public institutions and in the tourism industry in general have different opinions about competitive tourism destinations for most dimensions. Research limitations/implications Despite the fact that the findings do not consider the demand side, which has a major impact on the destination, they minimize the research gap and contribute to the existing literature review. Practical implications The results are of particular value to stakeholders and destination management responsible for strengthening the competitiveness of tourism destinations. Originality/value The research progressed over previous studies by developing and empirically testing a modified conceptual model for measuring destination competitiveness from a supply-side perspective and recommending improvements for the emerging tourism destinations.