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Integrated health and social care initiatives are increasing and health and social care systems are aiming to improve health and social outcomes in disadvantaged groups. There is a global dialogue surrounding improving services by shifting to an integrated health and social care approach. There is consensus of what is “health care”; however, the “social care” definition remains less explored. The authors describe the state of “social care” within the current integrated care literature and identify the depth of integration in current health and social care initiatives.

A narrative literature review, searching Medline, PsychINFO, CINAHL, PubMed, Scopus and Cochrane databases and grey literature (from 2016 to 2021), employing a search strategy, was conducted.

In total. 276 studies were eligible for full-text review, and 33 studies were included and categorised in types: “social care as community outreach dialogues”, “social care as addressing an ageing population”, “social care as targeting multimorbidity and corresponding social risks factors” and “social care as initiatives addressing the fragmentation of services”. Most initiatives were implemented in the United Kingdom. In total, 21 studies reported expanding integrated governance and partnerships; 27 studies reported having health and social care staff with clear integrated governance; 17 had dedicated funding and 11 used data-sharing and the integration of systems’ records.

The authors' demonstrate that social care approaches are expanding beyond the elderly, and these models have been used to respond to multimorbidity [including coronavirus disease 2019 (COVID-19)], targeting priority groups and individuals with complex presentations.

The purpose of this study is to contribute to the literature on information elicitation. The authors investigated the impact of social influence strategies on eyewitness recall performance. Specifically, the authors examined the effect of social influence techniques (Cialdini, 2007) on recall performance (Experiment 1) and conducted a follow-up experiment to examine the incremental effect of social proof on the report everything cognitive interview mnemonic (Experiment 2).

Participants watched a video depicting vandalism (Experiment 1: N = 174) or a verbal altercation (Experiment 2: N = 128) and were asked to recall the witnessed event. Experiment 1: Participants were assigned randomly to one of six conditions: control (open-ended prompt), engage and explain (interview ground rules), consistency (signing an agreement to work diligently), reciprocity (given water and food), authority (told of interviewer’s training) and social proof (shown transcript from an exemplar participant). Experiment 2: The authors used a 2 (social proof: present, absent) × 2 (report everything: present, absent) between-participants design.

Across both experiments, participants exposed to the social proof tactic (i.e. compared to a model exemplar) spoke longer and recalled more correct details than participants not exposed to the social proof tactic. In Experiment 2, participants interviewed with the report everything mnemonic also spoke longer, recalled more correct details, more incorrect details and provided slightly more confabulations than those not interviewed with the report everything mnemonic.

The findings have practical value for police investigators and other professionals who conduct interviews (e.g. military personnel, doctors obtaining information from patients). Interviewers can incorporate social proof in their interviewing practices to help increase the amount and accuracy of information obtained.

Cost-benefit (C/B) analysis helps to determine the economic feasibility of business software investments. Research literature and published practices do not recognize substantial software maintenance costs in C/B analysis. Current analyses emphasize the benefits of an initial investment but do not consider the recurring benefits of each enhancement during the software lifecycle. Such analyses could lead to incorrect investment decisions and lost business opportunities. This article aims to review current research on software lifecycle costs and develop a theoretically sound C/B analysis.

This article reviews current C/B analyses and discusses their shortcomings in treating the significant recurring maintenance costs. It analyzes the findings of various studies on software maintenance and synthesizes these findings to identify the nature of various maintenance costs and their benefits. Based on the synthesis, it theorizes various cost and benefit elements for inclusion in a revised C/B analysis.

This article identifies each recurring maintenance cost relevant to C/B analysis. It also identifies recurring benefits from each enhancement that hitherto have been omitted. Finally, this article discusses how these costs and benefits should be treated in the revised C/Bs analysis.

This is a conceptual paper proposing a new C/B analysis and requires an empirical validation.

This article provides a revision of the C/B analysis that is long overdue. It will help to justify a software investment correctly, rank software projects that compete for limited funds and help create a sound software project portfolio. Since 20% of software products may incur 80% of software investment, this analysis will help to make correct software investments and avoid lost business opportunities. This article also describes a practical method to use the revised C/B analysis.

This article provides a revision of the C/B analysis that is long overdue. It will help to justify a software investment correctly, rank software projects that compete for limited funds and help create a sound software project portfolio. Since 20% of software products may incur 80% of software investment, this analysis will help to make correct software investments and avoid lost business opportunities. This article also describes a practical method to use the revised C/B analysis.

This paper aims to investigate how actors in the farmer’s network influence the adoption of smart farming technology (SFT) and to understand how social media affects this adoption process, in particular focusing on the influence of social media on trust in knowledge dissemination within the network.

The methodology used a two-stage process, with semi-structured interviews of farmers, augmented by a netnographic approach appropriate to the social media context.

The analysis illustrates the key role of the farmer network in the dissemination of SFT knowledge, bringing insight into an important B2B context. While social media emerges as a valuable way to connect farmers and promote discussion, it remains underused in knowledge dissemination on SFT. Also, farmers exhibit more trust in the content from peers online rather than from SFT vendors.

Novel insights are gained into the influence of the farming network on the accelerated adoption of SFT, including the potential role of social media in mitigating the homophilous nature of peer-to-peer interactions among farmers through exposure to more diverse actors and information. The use of a social network theory lens has provided new insights into the role of trust in shaping social media influence on the farmer, with variances in farmer trust of information from technology vendors and from peers.

Blockchain technology has encouraged more transparent transactions process through decentralized protocols and has identified multi-dimensional benefits. However, value innovation–based blockchain for the particular industry requires further elaboration since there appears to be a vague understanding. Therefore, this study aims to provide a profound perspective of value innovation based blockchain, which has the potential to be applied in the halal industry.

This study developed a typology model that describes a profound understanding of blockchain adoption for value innovation. Empirical research was conducted using multiple case studies to justify the model. The case selection in this study was based on the halal industry in Indonesia. This study employed few sources to derive sufficient data through in-depth interviews, direct observations, and archival records. In particular, this study drew upon specific theories to elaborate on the blockchain-enable value innovation.

A blockchain is identified as having the opportunity to promote value innovation in the halal industry through its features. This study defines a typology model of value innovation-based blockchain for the halal industry that takes place on a particular spectrum. The model built in this study classifies blockchain adoption for the halal industry from specific dimensions: the degree of blockchain-based system complexity and the intensity of value innovation. Then, this study finds that these cases have different classifications and are evenly distributed in the quadrants of the model.

The typology model in this study can be a reference for decision-making when considering blockchain to leverage a value innovation in particular systems. Although blockchain technology can potentially be applied in vast areas, the decision-makers should understand that technology adoption should provide distinct values to its stakeholders, notably in multi-dimensional areas such as the halal industry. Thus, this study contributes significantly to blockchain technology usage for the halal industry.

This study aims to empirically examine the knowledge, social and religious factors effecting the intention to receive COVID-19 vaccination while considering the mediating role of attitude towards COVID-19 vaccination. The research explores how the Islamic ideologies shape Muslims’ knowledge, social and religious beliefs towards COVID-19 vaccination acceptance or refusal.

Theoretically, the study is based on the functional theory of attitudes. The model of the study is comprised of nine variables explaining the attitude and intention towards COVID-19 vaccination. Among nine variables, perceived Islamic religiosity, perceived behavioural control and Halal consciousness among Muslims are explained through the value-expressive function of attitude. Furthermore, the perceived risk of COVID-19, the perceived side effect of COVID-19 vaccination and the perceived efficacy of COVID-19 vaccination are considered in the model based on the utility function of attitude. Moreover, social influence for COVID vaccination, subjective norms and group conformity are abstracted from the social-adjustive function of attitude. This study used a quantitative survey research method to test the hypotheses. A total of 1,000 questionnaires were distributed to non-vaccinated Muslim respondents from five cities in Pakistan. The structural equation modelling (SEM) technique was used to test the relationship among the variables in the proposed model. The partial least square-SEM method explained the variances in the dependent variables. Moreover, to test the structure of data, different statistical tests, including exploratory factor analysis (EFA), factor loadings and average variance extracted, were used with the help of Statistical Package for the Social Sciences (SPSS) and analysis of a moment structures (AMOS) 23.0 version.

Results for direct effect showed a significant negative effect of Islamic religiosity, perceived behavioural control, halal consciousness, perceived side effect of COVID-19 vaccination, social influence, subjective norm and group conformity on attitude towards COVID-19 vaccination. In contrast, insignificant results showed no relationship of perceived risk from COVID-19 infection and perceived efficacy of COVID-19 vaccination with attitude towards COVID-19 vaccination. Results for mediating effect showed the significant negative mediating effect of attitude towards COVID-19 vaccination between Islamic religiosity, perceived behavioural control, halal consciousness, perceived side effect, social influence, subjective norm, group conformity and intention to receive COVID-19 vaccination. While results showed the insignificant mediation of attitude towards COVID-19 between perceived risk from COVID-19 infection, perceived efficacy of COVID-19 vaccination and intention to receive COVID-19 vaccination.

Further studies are required to compare the attitude and intention among the temporary refusal group (those who will consider vaccination the future) and the permanent refusal group (those who will not consider vaccination the future). Comparing Muslim and non-Muslim groups can also explain differences in attitude and intention towards COVID-19 vaccination.

The area of acceptance and refusal of COVID-19 vaccination has been given limited attention in academic literature. Theoretically, this research has proposed a well-defined model to explain the attitude of Muslims towards COVID-19 vaccination. This model can helpf predict the attitude and intentions of Muslims towards vaccination or medicines. Moreover, this research is a unique contribution for the vaccination brands to consider the discussed factors before launching their brand in Muslim countries.