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The purpose of this paper is to identify and describe, in a systematic way, the various academic discourses on the rationale for shared decision making (SDM) in mental health care, and so provide a comprehensive account of the ways in which this emerging field is being conceptualised in the research literature.

This study is a systematic review of peer-reviewed papers presenting a rationale for SDM in mental health. Relevant databases were searched from inception to July 2016. Data were analysed using a thematic analysis which aimed to identify and describe different discourses on the rationale for SDM in mental health care. Data were extracted into a standardised data extraction form which contained fields representing the developing thematic framework, study information and research methodology.

An initial search returned returned 1,616 papers, of which 175 were eligible for inclusion in this review. The authors developed ten distinct but interrelated themes which capture the various academic discourses on the rationale for SDM and represent some compelling arguments for SDM from a range of different perspectives including ethical, clinical, “user” focussed, economic and political. Dominant narratives in the literature linked SDM to the recovery moment and person-centred care, and adherence and engagement with mental health services.

The authors are unable to make any conclusions about the strength of evidence for these rationales. The review was restricted to peer-reviewed publications, published in English.

The findings could be a useful framework to support the selection of outcome measures for SDM evaluations.

There have been no systematic reviews published in this area previously.

The purpose of this paper is to develop taxonomy of sourcing decision-making (SDM) archetypes and explore how different contextual factors influence these archetypes when global sourcing of complex components is considered a viable option.

A multiple case study approach with five in-depth cases is employed. In total, 19 interviews as well as publicly available and internal data from large buying firms headquartered in Austria and Germany were collected and analyzed.

The results reveal three different SDM archetypes which are described in detail (i.e. “consensus,” “argumentation” and “cabal”). Furthermore, it is found that these archetypes are mainly influenced by three contextual factors: sourcing maturity, product complexity and leadership style. The final model comprises six propositions which illustrate how these contextual factors determine companies’ SDM archetypes.

The study contributes to theory development at the intersection of organizational buying behavior and the (global) SDM literature. Thereby, it answers the call for more rigorous investigation of the influence of contextual factors on SDM processes.

The findings enable practitioners to better understand and consequently manage SDM processes and their outcomes. By supporting decision-makers in identifying SDM archetypes, this study allows sourcing managers and teams to make better decisions by avoiding problems that occur in situations in which the preferred decision-making type would result in suboptimal decisions.

The study provides a first step toward taxonomy of SDM archetypes and is among the first that explores their underlying contextual factors.

This paper aims to examine the process and characteristics of strategic decision making (SDM), and their influencing factors in Chinese small‐ and medium‐sized enterprises (SMEs).

This study adopted a case‐study research design. It collected data from 20 Chinese SMEs with multiple approaches, including interviews with owners/managers, focus groups, gathering of internal documents and access to their web site.

Several important conclusions can be drawn. First, the steps involved in the SDM process in Chinese SMEs are less complex than the theoretical models; second, Chinese SME owners/managers rely heavily on their personal networks for identifying opportunities in the business environment, and for information search and advice; third, a firm's ownership significantly influences the degree of participation and the level of political activities in the SDM process; and fourth, decisions made in Chinese SMEs can be implemented quickly partly due to slack legal enforcement in China.

For SME owners/managers, a better understanding of the decision‐making routes provides a basis for enhancing the quality of the decision‐making process. They can expand and/or improve the steps in executing their decision‐making process. For Chinese government policy‐makers, they can better sponsor training programs in strategic management and develop mentoring programs among SME owners/managers for better connecting them with peers and external advisors. For SME researchers, this paper has pointed out several important areas for future research.

This research is one of the pioneering studies on SDM in Chinese SMEs. It provides a detailed description of the SDM process and several important characteristics associated with this process in Chinese SMEs, and thus contributed significantly to our understanding and potential improvement of SDM in Chinese SMEs.

The purpose of this paper is to promote a system dynamics-discrete event simulation (SD-DES) hybrid modelling framework, one that is useful for investigating problems comprising multifaceted elements which interact and evolve over time, such as is found in TPM.

The hybrid modelling framework commences with system observation using field notes which culminate in model conceptualization to structure the problem. Thereafter, an SD-DEShybrid model is designed for the system, and simulated to proffer improvement programmes. The hybrid model emphasises the interactions between key constructs relating to the system, feedback structures and process flow concepts that are the hallmarks of many problems in production. The modelling framework is applied to the TPM operations of a bottling plant where sub-optimal TPM performance was affecting throughput performance.

Simulation results for the case study show that intangible human factors such as worker motivation do not significantly affect TPM performance. What is most critical is ensuring full compliance to routine and scheduled maintenance tasks and coordinating the latter to align with rate of machine defect creation.

The framework was developed with completeness, generality and reuse in view. It remains to be applied to a wide variety of TPM and non-TPM-related problems.

The developed hybrid model is scalable and can fit into an existing discrete event simulation model of a production system. The case study findings indicate where TPM managers should focus their efforts.

The investigation of TPM using SD-DES hybrid modelling is a novelty.

Much of the existing literature on shared decision making (SDM) in mental health has focused on the use of decision aids (DAs). However, DAs tend to focus on information exchange and neglect other essential elements to SDM in mental health. The purpose of this paper is to expand the review of SDM interventions in mental health by identifying important components, in addition to information exchange, that may contribute to the SDM process in mental health.

The authors conducted a systematic literature search using the Ovid-Medline database with supplementary scoping search of the literature on SDM in mental health treatment. To be eligible for inclusion, studies needed to describe (in a conceptual work or development paper) or evaluate (in any type of research design) a SDM intervention in mental health. The authors included studies of participants with a mental illness facing a mental health care decision, their caregivers, and providers.

A final sample of 31 records was systematically selected. Most interventions were developed and/or piloted in the USA for adults in community psychiatric settings. Although information exchange was a central component of the identified studies, important additional elements were: eliciting patient preferences and values, providing patient communication skills training, eliciting shared care planning, facilitating patient motivation, and eliciting patient participation in goal setting.

The review indicates that additional elements, other than information exchange such as sufficient rapport and trusting relationships, are important and needed as part of SDM in mental health. Future SDM interventions in mental health could consider including techniques that aim to increase patient involvement in activities such as goal settings, values, and preference clarification, or facilitating patient motivation, before and after presenting treatment options.

Shared decision making (SDM) is a model of health care in which patients are involved in the decision-making process about their treatment, considering their preferences and concerns in a deliberative process with the health care provider. Many existing instruments assess the antecedents, process, or the outcomes of SDM. The purpose of this paper is to identify the SDM-related measures applied in a mental health context.

The authors performed a systematic review in several electronic databases from 1990 to October 2016. Studies that assessed quantitatively one or more constructs related to SDM (antecedents, process, and outcomes) in the field of mental health were included.

The authors included 87 studies that applied 48 measures on distinct SDM constructs. A large majority of them have been developed in the field of physical diseases and adapted or directly applied in the mental health context. The most evaluated construct is the SDM process in consultation, mainly by patients’ self-report but also by external observer measures, followed by the patients’ preferences for involvement in decision making. The most applied instrument was the Autonomy Preference Index, followed by the Observing Patient Involvement in Decision Making (OPTION) and the Control Preferences Scale (CPS). The psychometric validation in mental health samples of the instruments identified is scarce.

The bibliographic search is comprehensive, but could not be completely exhaustive. Effort should be invested in the development of new SDM for mental health tools that will reflect the complexity and specific features of mental health care.

The authors highlight several limitations and challenges for the measurement of SDM in mental health care.

The purpose of this paper is to analyze the influencing factors of new logistics service product design (NLSPD) in China to establish a theoretical framework for the future development of the logistics industry.

The paper adopts the multi-case study method based on a sample of four Chinese logistics enterprises, in which the authors consider the logistics service maturity (LSM), a distinct characteristic of logistics enterprises.

NLSPD is directly related to the degree of supply–demand matching (SDM) and LSM. Customer demand, service capability and peer competition influence the performance of NLSPD through the SDM degree, whereas LSM moderates these influencing mechanisms. Moreover, the degree of SDM has a positive impact on LSM.

The findings can help the managers of logistics enterprises and practitioners in the logistics industry understand the complexity of NLSPD. First, they should broaden and deepen their service offering to enhance the degree of LSM. Second, they should pay attention to the factors that affect SDM systematically. Finally, it is vital to balance the relationship between LSM and SDM.

NLSPD has become an important tool affecting the competitiveness and sustainability of logistics service enterprises. This is the first paper to propose a theoretical framework for NLSPD that considers the characteristic of the logistics industry. It clarifies the mechanisms of influencing factors, and contributes to the literature by filling the research gap.

This review paper will look at internationally existing publications in the English language on mental health shared decision making (SDM) implementation of a variety of interventions, including different methodologies and research methods, age groups and countries. The purpose of this paper is to provide an overview of: process, degree and outcomes of implementation; barriers and facilitators; perspectives on implementation by different stakeholders; analysis of the process of implementation in mental health services through the lenses of the normalisation process theory (NPT).

Following a targeted literature search the data were analysed in order to provide an overview of methodologies and methods applied in the articles, as well as of the variables listed above. Three different types of information were included: a content analysis of key issues, reflective understanding coming out of participating in implementation of an SDM project in the form of two narratives written by two key participants in an SDM pilot project and an NPT analysis of the process of implementation.

Only a minority of mental health SDM research focuses on implementation in everyday practice. It is possible and often desirable to achieve SDM in mental health services; it requires a low level of technology, it can save time once routinized, and it is based on enhancing therapeutic alliance, as well as service users’ motivation. Implementation requires an explicit policy decision, a clear procedure, and regular adherence to the aims and methods of implementation by all participants. These necessary and sufficient conditions are rarely met, due to the different levels of commitment to SDM and its process by the different key stakeholders, as well as due to competing providers’ objectives and the time allocated to achieving them.

The review indicates both the need to take into account the complexity of SDM, as well as future strategies for enhancing its implementation in everyday mental health practice. Perhaps because applying SDM reflects a major cultural change in mental health practice, current value attached to SDM among clinicians and service managers would need to be more positive, prominent and enduring to enable a greater degree of implementation.

The purpose of the paper is to investigate the status of systems development methodologies (SDM) usage for developing web‐based application in Malaysian organizations. In addition, it also seeks to investigate the use of techniques and tools for web‐based application development.

The study employed the use of a cross‐sectional survey method with 200 questionnaires sent to information systems managers. A total of 66 usable questionnaires were returned.

The use of SDM that are meant for web‐based applications is still very low among Malaysian organizations. The majority of respondents indicated that the SDM being used were adapted on a project basis. Malaysian systems developers were more inclined to use techniques that were much suited for traditional applications. Nevertheless, the use of systems development tools was quite overwhelming. Despite acknowledging the merits of using SDM, respondents also indicated problems associated with their usage.

The number of respondents participated in the study was low and furthermore data were collected employing a cross‐sectional design instead of longitudinal design.

The paper provides empirical evidence regarding the use of SDM, techniques and tools for developing web‐based applications.

The purpose of this study was to determine if Systems Development Methodologies (SDMs) are being utilised effectively in the development of Learning Management Systems (LMSs) in South Africa. With e-learning being a critical component of modern educational systems, it has become essential to ensure that LMSs of a high standard are being developed. In the field of SDMs, much research has been done and the value of SDMs is proven and documented. To enhance the chances of developing LMSs of outstanding quality, it is crucial that SDMs are applied efficiently, as they can have a significant impact on the development process.

A positivistic research approach was followed. By utilising a survey as the main research method, quantitative data were generated. By statistically analysing the dataset, meaningful results were obtained.

This study shed some light on how LMS procurement and development is being done in South Africa and revealed that the use of open-source systems currently exceeds the use of proprietary systems. The results of the research showed that SDMs (e.g. Rapid Application Development) are being used effectively in the development of e-learning systems. Strong relationships exist between many of the SDM factors identified (e.g. performance expectancy and the perceived support of the methodology) and the quality and productivity of the development process. This, in turn, has a strong influence on the impact SDMs have on the quality of LMSs.

The study made a contribution to the discipline of information systems and, more specifically, LMSs, by providing insights with regard to the factors affecting the use and effectiveness of SDMs in developing LMSs. As far as could be ascertained, this study generated the first empirical data on the procurement and development of LMSs in South Africa.