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Turnaround maintenance (TAM) is an essential activity in process industry. It plays an important role in maintaining consistent productive capacity. It is a major project that requires sound planning, execution and control. In this paper guidelines for a structured approach for managing TAM is outlined and the current practice of TAM in petrochemical industry is assessed. The assessment of the current practice is conducted through a structured questionnaire that covers all the essential phases and activities of TAM. Suggestions for improving the practice of TAM are also provided in the paper. Practical implications. This paper provided a structured approach and guidelines for initiating, planning, executing and terminating TAM. The guidelines are expected to evolve into a manual that can be utilized by process industry for managing TAM.

This research aims to use meta-analytical structural equation modeling to look into how hospitality employees use technology at work. It further investigates if the relationship between the constructs of the technology acceptance model (TAM) is moderated by job level (supervisory versus non-supervisory) and different cultures (eastern versus western).

In total, 140 relationships from 30 empirical studies (N = 6,728) were used in this study’s data analysis in accordance with the preferred reporting items for systematic reviews and meta-analysis.

The findings demonstrated that perceived usefulness had a greater influence on “user attitudes” and “acceptance intention” than perceived ease of use. This study also identified that the effect sizes of relationships among TAM constructs appeared to be greater for supervisory employees or in eastern cultures than for those in non-supervisory roles or western cultures.

The findings provide valuable information for practitioners to increase the adoption of employee technology. Practitioners need to focus on the identification of hospitality employee attitudes, social norms and perceived ease of use. Moreover, hospitality practitioners should be cautious when promoting the adoption of new technologies to employees, as those at different levels may respond differently.

This is the very first empirical investigation to meta-analyze the predictive power of the TAM in the context of hospitality staff technology adoption at the workplace. The findings also demonstrated differences in the predictive power of TAM constructs according to job level and cultural differences.

This study aims to present a case study about the Team Around Me (TAM) model of case coordination which was developed by Fulfilling Lives Islington and Camden (FLIC) as an action experiment. The model is a standardised tool for running case conferences for clients experiencing multiple disadvantage (MD).

Deploying a case study approach, this study explores why a TAM-coordinated approach is beneficial for people experiencing MD.

The authors explore why the need for effective case coordination is integral for clients experiencing MD, and how current structures fail to facilitate effective case management. The authors put forward an argument for the four core principles underpinning the TAM model: strengths-based, action-focussed, systems thinking and client involvement. The barriers to embedding and upscaling this approach are discussed, alongside the obstacles presented by the wider system that prevent wider implementation.

The TAM model is a new approach to case conferences, designed and upscaled by FLIC, and has since been adopted across two London boroughs, and training has reached services across the UK. This paper highlights the need for innovative approaches to case coordination that centre client involvement, promote a strengths-based approach and recognise system blockages as a key barrier to client progress.

This paper aims to review and highlight the gaps in the research streams of the technological acceptance model (TAM) associated with e-banking services. The introduction of TAM as a decision-making process from individual and organizational perspectives is the core purpose of this paper.

This study is based on concept-centric reviews and synthesizing of previous research. Data are extracted from a systematic literature review published from 1975 to 2021 under the preferred reporting items for systematic review and meta-analyses statement.

This review explored that theory of reasoned action and theory of planned behavior are the basic theories proceeding to TAM evolution. TAM has been extended to its three versions, which are designed and modified for different contexts and cultures. Previously, the risk-return approach, theory of trust and perceived value were the major constructs or modifications in TAM. Now, TAM has been designed for measuring customers’ perception of any technological advancement.

This review is limited to major additive constructs in modified TAM concerning e-banking services, which can be expanded to different cultures and contexts. This study sketched TAM as a decision-making model associated with the factors influencing any technological advancement. So, the proposed conceptual framework is applicable for the behavioral analysis of technological adoption from individual and organizational perspectives in any field.

This review designed a bi-dimensional conceptual model of TAM as a decision-making process for e-services that has not been identified yet in any study from organizations’ and customers’ perspectives.

This paper is the second of two concerned with a meta‐analysis of the technology acceptance model (TAM). This part aims to present a rigorous and quantitative meta‐analytic review of 569 findings from 95 TAM studies as a basis for identifying gaps and providing guidelines for implementation management and conduct of future research. The paper also seeks to investigate the potential impact of methodological characteristics on the meta‐analytic findings.

The approach consists of meta‐analysis following Hedges and Olkin's procedures, moderator‐analysis using homogeneity Q‐values, analogue to ANOVA and weighted regression method.

The dominant focus in empirical investigations of the TAM has been on modelling intention for its effect on self‐reported usage behaviour, while the attitudinal construct has been neglected. This raises three questions: whether the exclusion of attitude from the TAM is beneficial for understanding of technology usage behaviour in mandatory settings; whether the revised TAM holds equally for mandatory and voluntary settings; and whether the emphasis on measuring intentions and self‐report use rather than actual usage is warranted. An additional question answered in the meta‐analysis is about the relative importance of PU and PEOU.

The paper provides a rigorous meta‐analysis to progress towards a unified view of the TAM.

This paper seeks to provide auditors, forensic accountants, investigators, regulators, financial managers, lawyers, law enforcement personnel, academics, and others with a basic overview of the steps in and elements of a qui tam legal claim, limitations on a qui tam claim, protection for a whistleblower employee, and the role of qui tam litigation in the fight against fraud.

A sample of types of recent qui tam fraud cases is highlighted for the reader. The steps in filing a qui tam claim are described along with the limitations of pursuing such a lawsuit. The paper includes a statutory and legal case study analysis of each required element of proof in a qui tam claim. Analysis of actual qui tam court cases illustrates the importance of private civil lawsuits in combating fraud committed against the US Government.

This paper provides readers with information about the substantial recoveries earned by successful qui tam plaintiffs. Also, the necessary steps in and elements of a qui tam suit are revealed. Technical legal details of various federal court rulings are distilled for readers. The important role of this unique type of lawsuit in the arsenal of those who fight against government fraud is emphasized.

This paper fills an identified need to inform those involved in the fight against economic crime about an important tool that uncovers and deters fraud against the federal government.

Purpose – The purpose of this paper is to provide a case study for professionals who are in research and practice in maintenance engineering. Design/methodology/approach – This is a case study. Therefore, on‐site involvement in the development of steps for maintenance projects has been included. Findings – The case study shows that, if project management practice and involvement of external experts and parties are allowed in the maintenance projects, then issues in maintenance projects can be addressed more clearly and the cost and schedule for such a maintenance project can also be optimized. The use of information technology in the whole process can be facilitated not only during the planning phase, but also during the execution and review process. Research limitations/implications – Implication of this study can be seen in TAM projects where time and energy have to be spent to get the best practice. The case study will show a real life example of TAM. Practical implications – The paper should help one to understand the implications of starting a turn‐around maintenance project and the issues built therein. The case study highlights that collaborative planning and execution of TAM are useful. Collaboration could be in terms of internal parties, such as decision makers and managers, or of external parties, such as external experts and contractors. Originality/value – There are only a few studies in the turn‐around management process. As oil refining is an important economic process, learning of cases in one of the major oil‐refining plants can help others to emulate the process so that overall efficiency of turn‐around maintenance can be increased across the industry.

A comprehensive operational framework is proposed to explain young consumers’ (i.e. generations Y and Z) engagement with brands on social media sites (SMSs). This paper aims to synthesize two motivational theories: uses and gratifications (U&G) theory and the technology acceptance model (TAM).

A selective literature review was conducted to examine recent publications related to young consumers’ brand-driven engagement behavior on SMSs in which either TAM or U&G theory was applied. A three-stage method was used: an initial search was followed by vertical and horizontal searches and then a targeted search of scholarly publications. At each stage, the university’s library databases and Google Scholar were searched for relevant, mainly peer-reviewed articles, using appropriate filters and keywords. The articles’ references and the studies that cited those articles were added to the initially identified research pool (vertical search), coupled with publications of a similar nature based on keywords (horizontal search). The final stage, the targeted search, involved identifying and adding specific articles (e.g. literature reviews and integrated models).

After a review of a significant number of U&G and TAM studies, similarities and differences of the two theories were identified, and an integrated operational framework was developed. Based on empirical findings of existing U&G and TAM studies, testable propositions were presented.

The proposed hybrid model and the associated propositions provide a research opportunity to empirically examine how young consumers’ motivational (i.e. motivating and demotivating) drivers, normative influence, perceived value and attitudes (toward brand content and engagement) predict intention or actual brand-related behavior on SMSs.

Much of current research indicates that generations Y and Z (“digital natives”) spend considerably more time on SMSs than any of the older generations (“digital immigrants”). Thus, brands that aim to target this cohort need to develop successful engagement strategies (e.g. gamification and influencer marketing) on current and emerging SMSs. The suggested conceptualization provides guidelines for companies to effectively use such communication strategies to motivate young people to engage with their brands on sites such as Twitter, Instagram and Facebook.

A review of TAM research indicates that it lacks rich motivating/demotivating constructs, and thus borrows from other theories to complement this weakness. An examination of U&G frameworks, particularity Ducoffe (1996)-based models, indicates that these frameworks mainly test engagement with social media advertising but seldom other types of brand-driven engagement on SMSs. In addition, many U&G studies focus less than TAM studies do on outcome variables such as behavioral intentions and behavior. Thus, the authors propose a synthesized U&G and TAM framework that mitigates both theories’ weaknesses and builds on their strengths, enriching the growing research on brand-driven engagement behavior via SMSs.

This study aims to address the following questions: What is enduring about consumer behavior on social media given that digital and social media (DSM) technologies change rapidly? Why do millennials use social media to the extent they do? The authors’ review revealed that a prevailing theoretical approach that may help answer these questions is inadequate. The technology acceptance model (TAM) from information systems was grafted into marketing to explain consumer technology adoption. TAM predicts Facebook adoption effectively, as demonstrated in the authors’ first study, but does not go beyond that in explaining the why’s behind its use. In a second study, the authors used the means-end approach (MEC) complementarily to unearth the why’s of millennials’ use of Facebook.

The authors used a mixed-methods design combining the structural modeling of TAM with the probing one-on-one interviews and laddering of MEC.

The authors found that the laddering process both widened and deepened TAM’s scope. It not only confirmed the importance of the TAM attributes, perceived ease of use and perceived usefulness, but it also revealed others, in determining adoption. It was also able to dig deeper from these to uncover a mesh of fundamental values that millennials used Facebook to satisfy, such as belongingness, pleasure, social acceptance and inner harmony, in their quest for inner and relational contentment. The authors also found negative aspects that kept consumers away, such as its lack of privacy and the overwhelming nature of unwanted video in its feed, tying these back to important values.

The authors build on prior exploratory work relating to DSM use and uncover psychological drivers of consumer behavior on social media, by blending TAM in a consumer context, and the MEC approach. The TAM-MEC framework used here offers a technology-independent template for other DSM research, by focusing on how and why consumers use media socially.

Managerially, the authors discuss the building of sustainable marketing strategy on enduring consumer values rather than on transient attributes or technologies. The authors also discuss potential areas of vulnerability for Facebook, such as its increasing use of video and live content, which creates negative consumer sentiment and which may drive consumers to competitors.

By blending the quantitative TAM and the qualitative MEC, something that has not been done before in marketing, this research provides trustworthy answers to the research questions. In so doing, this study also contributes some cohesion to the fragmented DSM research field, as called for recently in prominent journals, by anchoring DSM study in well-established theories in marketing.

The purpose of this study is to empirically examine the utility of information systems (IS) success models in mandatory e-government services, as opposed to the volitional ones that have been the focus of previous studies. The models include the technology acceptance model (TAM) (1989) and Seddon’s model (1997), which involve three (ease of use, usefulness and citizens satisfaction) and four variables (system quality, information quality, usefulness and citizen satisfaction).

The models were compared based on a survey conducted on 780 foundation year students of government universities in Saudi Arabia. The Saudi Government has launched a mandatory e-government service geared to assist high school graduates in the university academic admission process. The goodness-of-fit and parsimony of fit indices and the explanatory power were used to compare the two models.

The structural equation modeling techniques revealed that overall, the two models both exhibited reasonable fit with the collected data, whereas TAM showed the best fit to the sample data and yielded superior goodness-of-fit indices over Seddon’s model. In terms of explanatory power, Seddon’s model predicted 28% (R² = 0.28) of the variance explained for citizen satisfaction, whereas TAM predicted 21% (R² = 0.21). All the parsimony of fit indices favored TAM over Seddon’s model.

This study examined the validity of TAM and Seddon’s model, using citizen satisfaction as the dependent variable to compare them. TAM and Seddon’s model were modified to better fit the current research context of mandatory e-government services; thus, the findings may not hold for their original or other voluntary settings. In addition, the focus on a single survey for a certain time in a certain territory of mandatory e-government service may have limited the generalizability of the results to other mandatory contexts. Future research should make use of large, cross-sectional samples in different mandatory contexts to enhance result generalization.

This study’s findings can provide e-government practitioners with deeper perceptions of how to address citizen satisfaction with mandatory e-government services. The results exposed usefulness as the common and major construct, having the strongest influence on citizen satisfaction in both TAM and Seddon’s model; thus, maximizing the benefits of e-government services for citizens is crucial to their success. The causal relationship between information quality and citizen satisfaction was not supported. This supports the perspective that e-government services are currently evolving quickly, becoming more integrated and easier-to-use, generally requiring only a few clicks and less information.

This study has extended the assessment of the validity of IS success models to a mandatory IS usage setting. The comparison study of different IS success models is crucial as it acts as a guide for researchers to determine the trade-off between the models used to conduct research on a particular context. The study concludes that TAM is the most parsimonious and universal model for the study of user satisfaction in mandatory contexts. The findings will provide e-government practitioners with insights into IS success measures suited to enhance the effectiveness of newly and future mandated e-government services.