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Supplier selection problem is the key process in decision making of supply chain management. An effective selection of vendors is heavily responsible for the success of any organization. Vendor selection problem (VSP) reflects a more practical view when the decision makers involved in the problem are present on different levels. Moreover, vendor selection consists of various random parameters to be dealt with in real life. The purpose of this paper is to present a decentralized bi-level VSP where demand and supply are normal random variables and objectives are fuzzy in nature. Decision makers are present at two levels and are called as leader and follower. As the next purpose, this paper extends and presents a solution approach for fuzzy bi-level multi-objective decision-making model with stochastic constraints. Different scenarios have been developed within a real-life case study based on different sets of controlling factors under the control of leader.

This study uses chance-constrained programming and fuzzy set theory to generate the results. Stochastic constraints are converted into deterministic constraints using chance-constrained programming. Decision variables in the bi-level VSP are partitioned between the two levels and considered as controlling factors. Membership functions based on fuzzy set theory are created for the goals and controlling factors and are used to obtain the overall satisfactory solutions. The model is tested on a real-life case study of a textile industry and different scenarios are constructed based on the choice of leader’s controlling factors.

Results showed that the approach is quite helpful as it generates efficient results producing a good level of satisfaction for the decision makers of both the levels. Results showed that on choosing the vendors that are associated with worst values in terms of associated costs, vendor ratings and quota flexibilities as controlling factors by the leaders, the level of satisfaction achieved is highest. The level of satisfaction of solution is lowest for the scenario when the leader chooses to control the decision variables associated with vendors that are profiled with minimum vendor ratings. Results also showed that higher availability of materials and budget with vendors proved helpful in obtaining quota allocations. Different scenarios generate different results along with different values of satisfaction degrees and objective values which shows the flexible feature of the approach based on leader’s choice of controlling factors. Numerical results showed that the leader’s control can be effectively incorporated maintaining satisfaction levels of the followers under various scenarios or conditions.

The paper makes a certain contribution toward the study of vendor selection existing in a hierarchical manner under uncertain environment. A wide set of data of different factors is needed which can be seen as a limitation when the available time is short for the supplier selection process.

VSP which is generally adopted by most of the large organizations is characterized with hierarchical decision making. Moreover, dealing with the real-life concern, the data available for some of the parameters are not complete, representing an uncertainty of parameters. This study is quite helpful for decentralized VSP under uncertain environment to reduce the costs, improve profit margins and to create long-term relationships with selected vendors. The proposed model also provides an avenue to explore the decision making when the leader has control over some of the decision variables.

Reviewing the literature available, this is the first attempt to present a multi-objective VSP where the decision makers are at hierarchical levels considering uncertain parameters such as demand and supply as per the best knowledge of authors. This research further provides an approach to construct scenarios or different cases based on the choice of leader’s choice of controlling factors.

Auditors use behavioral red flags (BRFs) to examine which individuals are more prone to unwarranted behavior such as corruption and asset misappropriation. Using a rich data set from the Association of Certified Fraud Examiners (ACFE), we analyze the impact of BRFs on loss sizes from asset misappropriation. We control for antifraud mechanisms established at the company level and other factors both at the individual and the firm level. Performing an exploratory factor analysis yields six factors for BRFs which capture the principal perpetrator's situation both at the private level and the workplace. A general wheeler-dealer attitude and financial distress significantly increase loss sizes. By contrast, we find no evidence that nonmonetary private problems lead to higher losses.

Within the context of intellectual capital (IC) reporting, social network analysis (SNA) is applied to identify driving factors, which allows it to control the development of intellectual capital. Hence, the aim of the paper is to address an important weakness of established methods for IC management, i.e. their inability to cope with interdependencies between different elements.

The paper describes the method of SNA and its ability to identify IC value drivers. Thereby, the relationships between different key success factors and organisational results are represented as a graph and their interactions are analysed by specific SNA indicators with the aim of identifying appropriate IC control factors. The experience with the proposed new method gained within a vocational education and training centre in Austria during the implementation of an intellectual capital report is presented to illustrate the new method.

The newly introduced approach delivers new kinds of information for management control in an organisation and leads to different selection of indicators than only applying the classical sensitivity model.

The paper introduces a new management method for practitioners. Compared to traditional methods such as strategy maps, managers are able to consider interdependencies systematic and indirect effects between factors when selecting control measures.

To the authors' knowledge it is the first time that the SNA technique has been used for selecting management control factors based on identified cause‐effect relationships.

The “big room” concept and lean philosophy have become increasingly popular in the construction industry. Visual control is a central part of lean philosophy and the big room concept; its aim is to improve information flow, joint problem-solving and real-time decision-making. Visual control facilitates effective project management by providing information on what work is performed and why, customer requirements, deadlines, work status and potential problems. This study aims to explore how visualisation supports project management and control in a big room and the factors that facilitate good visual control.

This research is based on the case study method, and the objective is to elaborate the current understanding of factors that affect visual control. The study includes a literature review and an empirical study of a large construction project.

The results indicate that many factors facilitate visual control. Despite the importance of facilities and tools, communication and teamwork are identified as the key factors. On a broader level, the results indicate a need for a holistic approach in developing visual management strategies and practices in the construction industry and in complex projects in particular.

A single case may not be able to offer a generalised picture of this complex topic. However, the study provides novel insights for practitioners and researchers interested in the development of visual control and big rooms. Future research topics are also proposed.

While previous studies have identified many elements of successful big room implementation – including integration and early involvement, information sharing, tools and facilities – this study focusses specifically on the factors that facilitate visual control.

We explore the effects of three categories of fit on US‐China joint‐venture performance using four performance measures. Many studies prescribe strong fit across multiple categories as necessary for high performance, but little rigorous analysis supports this. Three important threads of existing “fit” research resonate in the literature: strategic, cultural and organizational fit. We analyze an original survey dataset of over 80 US‐China JVs, and test for effects of fit‐categories using two measures for each thread. Additionally, multiple control factors give a compelling look at a complete model of fit’s effects on JV performance. Objective congruence (strategic fit) among JV partner‐firms, impacts two performance‐measures. Efficacy of managerial communications (cultural fit) also matters, as does harmony regarding hiring decisions (organizational fit). Our findings are a step forward empirically, and partly resolve persistent questions about partner‐fit in JVs and performance.

This study takes the position that the vitality of academic libraries is grounded in the working experiences of its librarians. It suggests that a full understanding of problems facing contemporary information professionals in the post-industrial workplace requires an analysis of the labouring aspects as well as the professional nature of their work. The study of changes in the academic library work experience thus depicts the state of the library, and has implications for other intellectual workers in a social environment characterized by expanding information technologies, constricted economic resources, and the globalization of information production. Academic librarians have long recognized that their vocation lies not only in the classical role in information collection, organization, and dissemination, but also in collaboration with faculty in the teaching and research process, and in the contribution to university governance. They are becoming increasingly active in the protection of information access and assurance of information quality in view of information degradation on the Internet and various compromises necessitated by interaction with third party commercial information producers.

Take the image of the entrepreneur as a driven accepter of risk, an individual (or set of individuals) hungry to amass a fortune as quickly as possible. This image is consistent with the traditional finance theory view of entrepreneurial startups, one that assumes that profit maximization is the firm’s sole motivation (Chaganti, DeCarolis & Deeds, 1995). Myers’s (1994) cost explanation of the pecking order hypothesis (i.e. entrepreneurs prefer internally generated funds first, debt next, and external equity last) incorporates this economically rational view of entrepreneurs’ financing preferences. According to this view, information asymmetry and uncertainty make the availability of external financing very limited and the cost of it prohibitively high. To compensate, entrepreneurs must give up greater and greater control in order to “buy” funds needed to achieve the desired growth and profitability. Indeed, Brophy and Shulman (1992, p. 65) state, “Those entrepreneurs willing to relinquish absolute independence in order to maximize expected shareholder wealth through corporate growth are deemed rational investors in the finance literature.” Undoubtedly, cost and availability explanations of financing choices are valid for many new and small businesses. However, many entrepreneurship researchers have long been dissatisfied with the incompleteness of this perspective.

This paper aims to investigate the role of five highly relevant advertiser- (i.e. personalization and ad placement) and consumer-controlled (i.e. privacy concerns, perceived relevance and Facebook motives) factors in the evaluation and perceived outcomes of personalized Facebook advertising as well as how these factors interrelate.

Twenty-eight semi-structured interviews, in which elicitation techniques were used, were carried out among 25- to 55-year-old Facebook users.

The findings point to a complex tradeoff between the risks and benefits of personalized Facebook advertising, in which perceived relevance and Facebook use motives play a vital role.

This study focused on the general Facebook advertising experience, yet the elicitation techniques were applied only on the desktop website. Future research should look further into mobile advertising formats.

Personalization and retargeting algorithms could be improved and ads should be designed with the customers’ interests in mind to improve their effectiveness and reduce privacy concerns.

Social media advertising innovates at a high pace. Yet, the literature shows an urgent need for research into which ad formats and characteristics appeal to users and why (or why not). Qualitative studies into the determinants of advertising outcomes are scarce but highly needed because they can uncover complex interactions between factors and thus provide a deeper understanding.

This paper aims to highlight that a define, measure, analyze, improve, and control (DMAIC) project should be carried out keeping the broader business goal of achieving continuous improvement in mind and that a design of experiment (DOE) based improvement approach should be preferred to achieve this goal.

“Ease of control” of the improved process and “gain in process knowledge” from a DMAIC study are identified as two measures for judging the contribution of a DMAIC project towards continuous improvement. Various improvement approaches are classified into seven groups and the likely impact of each of these seven approaches on the above two quality measures are discussed.

The improvement approach adopted during the improve phase is partially determined by the nature of the root cause(s) – type X or type Y. The type Y root cause leads to the adoption of the “innovation‐prioritization” approach, which is very popular but has many limitations. Accordingly, an “analysis strategy” is proposed for efficient identification of the X‐type root causes.

The above findings suggest that one should try to identify as many X‐type root causes as possible. However, in case of service and transactional processes one finds it difficult to do so. Much more research is necessary in the area of service process design before the path of continuous improvement of such processes can be embarked on effectively.

It is expected that an awareness of the broader goal of continuous improvement, the classification of the end states of the analyze phase, the proposed “analysis strategy” and the practical guidelines provided for selecting an appropriate improvement approach will be helpful in executing the analyze and improve phases of DMAIC better.

Face the process yield rate improvements of motherboard, although general enterprises finish deployment goal of each functions by overall quality managements, through quality improvement methods, industry engineering methods, plan‐do‐check‐act (PDCA) methods and other improvement solutions, but it is only can be improved partially and unable to enhance the yield rate of product to the target. It only can takes one step ahead to enhance the process yield rate of motherboard with six sigma (6 σ) overall DMAIC process and tactics. This research aimed to use six sigma quality improvement tactics by DMAIC systematic procedure and tactics, and find the key factors that effect to the process yield rate of surface mount technology. It also identified the keys input and process and output index to satisfy customer requirements and internal process index. The results showed that the major effective factors by fishbone and process failure modes and effects analysis (PFMEA). If the index of input and output that can be quantified, the optimum parameter can be found through design of experiment to ensure that the process is stable. If the factor of input and output that cannot be quantified, we found out the effective countermeasure by Mind_Mapping, make sure whole processes can be controlled stably, to reach the high product quality and enhance the customer satisfaction.