Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

Indian Organised Apparel Retail Sector and DSS (Decision Support Systems)

Indian apparel retail sector poses interesting challenges to a manager as it is evolving and closely linked to fashions. Appealing mainly to youth, the sector has typical information requirements to manage its operations. DSS (Decision Support Systems) provide timely and accurate information & it can be viewed as an integrated entity providing management with the tools and information to assist their decision making. The study exploratory in nature, adopts a case study approach to understand practices of organized retailers in apparel sector regarding applications of various DSS tools. Conceptual overview of DSS is undertaken by reviewing the literature. The study describes practices and usage of DSS in operational decisions in apparel sector and managerial issues in design and implementation of DSS. A multi brand local chain and multi brand national chain of apparel was chosen for the study. Varied tools were found to be used by them. It was also found that for sales forecasting and visual merchandising decisions, prior experience rather than any DSS tool was used. The benefits realized were; “help as diagnostic tool”, “accuracy of records and in billing”, “smooth operations”. The implementation issues highlighted by the store managers were; more initial teething problems rather than resistance on the part of employees of the store, need for investment of time & money in training, due to rapid technological advancements, time to time updation in DSS tools is required . Majority of operational decisions like inventory management, CRM, campaign management were handled by ERP (Enterprise Resource Planning) or POS (Point of Sale). Prioritization as well as quantification of benefits was not attempted. The issues of coordination, integration with other systems in case of ERP usage, training were highlighted. Future outlook of DSS seems bright as apparel retailers are keen to invest in technology.

DSS (Decision Support Systems) in Indian Organised Retail Sector

Indian organised retail industry is poised for growth. Rapid state of change due to speedy technological developments, changing competitive positions, varying consumer behaviour as well as their expectations and liberalized regulatory environment is being observed in organized retailing. Information is crucial to plan and control profitable retail businesses and it can be an important source of competitive advantage so long as it is affordable and readily available. DSS (Decision Support Systems) which provide timely and accurate information can be viewed as an integrated entity providing management with the tools and information to assist their decision making. The study, exploratory in nature plans to adopt a case study approach to understand practices of organized retailers in grocery sector regarding applications of various DSS tools. Conceptual overview of DSS is undertaken by reviewing the literature. The study attempts to describe practices and usage of DSS in operational decisions in grocery sector and managerial issues in design and implementation of DSS. Comparision across national chain and local organized retailer in grocery sector reveals that national chain having implemented ERP partially are mostly using the same for majority of operational decisions like inventory management, CRM, campaign management. Two local players use spread sheets and in house software to make the above operational decisions. The benefits realized remain the same across the retailers. Prioritization as well as quantification of benefits was not communicated. The issues of coordination, integration with other systems in case of ERP usage, training were highlighted. Future outlook of DSS by the respondents portrayed a promising picture.

Implementing Operations Support Systems in E-Health Based Systems

Information and communication technologies have been introduced in different dimensions of the health care. e-Health is the use of advanced communications technologies such as the Internet, portable, wireless and other sophisticated devices to support health care delivery and education. It has the potentials of improving the efficiency of health care delivery globally. With the increasing demand for information at the point of care, health care providers could explore the advances provided by mobile technologies and the increasing capabilities, compactness and pervasiveness of computing devices to adopt operations supports systems (OSS) in e-Health based systems in order to provide efficient services and enhance their performances. In this paper, we present, the development and implementation of operations supports in e- Health based systems. The system promises to deliver greater productivity for health care practitioner

Study on the Support Systems for Corporate Governance

The problems generated by the information asymmetry within the agency relationships at corporation level, governments and capital markets led to a higher necessity for corporate governance (CG). The information system of corporate governance is a very complex one, which involves a series of actors, decision-making and transactional processes, technologies, procedures and good practice codes. In order to ensure the efficiency and efficacy of corporate governance as a premise for increasing company’s performance and position consolidation for the company on the capital market, it is necessary to analyze the way information technology could contribute to this undertaking. The purpose of this study is to analyze the architecture of the corporate governance systems and to identify and classify the systems and technologies involved in ensuring CG support in order to underlie the basis for developing a conceptual model for a hybrid and collaborative support system for corporate governance.Corporate Governance, Support Systems, Information Technology, Decision-Making, Performance

Towards the integration of enterprise software: The business manufacturing intelligence

Nowadays, the Information Communication Technology has pervaded literally the companies. In the company circulates an huge amount of information but too much information doesn’t provide any added value. The overload of information exceeds individual processing capacity and slowdowns decision making operations. We must transform the enormous quantity of information in useful knowledge taking in consideration that information becomes obsolete quickly in condition of dynamic market. Companies process this information by specific software for managing, efficiently and effectively, the business processes. In this paper we analyse the myriad of acronyms of software that is used in enterprises with the changes that occurred over the time, from production to decision making until to convergence in an intelligent modular enterprise software, that we named Business Manufacturing Intelligence (BMI), that will manage and support the enterprise in the futurebusiness manufacturing intelligence, enterprise resource planning; business intelligence; management software; automation software; decision making software

A decision support system for the collaborative selection of strategies in enterprise networks

Collaborative networks (CN) consist of autonomous and heterogeneous partners, and each defines its own objectives and formulates its own strategies, which are selected and activated to achieve these objectives. The heterogeneity that characterises network partners could lead to contradictions appearing among the strategies formulated in each CN enterprise. Consequently, the strategies formulated in one enterprise could negatively influence the achievement of the objectives defined in other enterprises of the same network. These contradictions lead to strategies misalignments, which worsens the network performance. In order to deal with these misalignments, a DSS is proposed to support the process of selecting the strategies among all those formulated, with the aim of achieving higher alignment levels. The proposed DSS considers the impacts that each strategy formulated in each enterprise has on the performance of the objectives defined by each network partner. This allows enterprises to select a set of aligned strategies. The selection of proper strategies to be activated in each enterprise strongly influences the CN's performance level, and higher levels of network adaptability, agility and competitiveness are achieved. The proposed DSS is validated under real conditions in a food industry network. The DSS is evaluated by emulating real collaborative conditions and is compared with the equivalent non-collaborative decision making perspective used for selecting strategies. The results demonstrate that the collaborative approach outperforms the performance level of the non-collaborative one and is more effective for handling the robustness and the long-term operation of the CN.Andres, B.; Poler, R. (2016). A decision support system for the collaborative selection of strategies in enterprise networks. Decision Support Systems. 91:113-123. doi:10.1016/j.dss.2016.08.005S1131239

Horizontal collaboration between international and local non-governmental organisations : a cross-sectional study regarding the Syrian refugee crisis in Jordan : a thesis presented in partial fulfilment of the requirements for the degree of Master in Supply Chain Management at Massey University, Manawatu, New Zealand

Purpose-This thesis seeks to explore supply chain collaboration within a humanitarian context, and to appraise relationships between international non-governmental organisations and community-based organisations during disaster relief. It also aims to identify challenges facing such collaboration in the humanitarian supply chain, and to discover whether effective partnerships contain a set of identifiable facilitators, drivers and mechanisms which promote relationships between local and international NGOs. Design/Methodology/Approach-Literature from both commercial and humanitarian sectors is discussed in the context of horizontal partnerships. A Jordanian cross- sectional study spanning a network of NGOs is explored via semi-structured interviews. Insights are synthesised into a conceptual model of how NGOs can form partnerships during a humanitarian response. Findings-The research provides valuable insights into the challenges facing local and international NGOs when developing partnerships. Four types of challenge are identified: organisational, inter-organisational, external, and donor-related. The conceptual model highlights the essential elements required for effective partnerships. Research limitations/Future research-The research is built on a single cross-sectional study from one country during an extended humanitarian crisis. The majority of the empirical data is only from one actor’s perspective, thus further research into dyadic and network relationships is required. Further investigation is required into approaches to addressing the diverse cultural and decision-making perspectives of local and international NGOs. Practical Implications-Recognising the challenges and major elements to horizontal partnerships between local and international NGOs will assist managers, both at strategic and operational levels, to find solutions and evolve strategies to build effective partnerships. Compromise and consideration for partner’s drivers and cultural views are essential for effective humanitarian relief. Originality/Value- The research extends supply chain collaboration to a humanitarian context. Overcoming the challenges facing collaborative efforts and the complementary nature of the facilitators, drivers, and mechanisms provides a means to achieve effective partnerships. Despite the uniqueness of the humanitarian context, such as the secondary nature of cost and dynamic demand, the core principles of collaboration still hold. Keywords-Humanitarian, supply chain collaboration, partnerships, community-based organisations (CBOs), non-governmental organisations (NGOs), international NGOs (INGOs)

A literature analysis of the use of Absorptive Capacity construct in IS research

Since the seminal inception of Absorptive Capacity (ACAP) by Cohen and Levinthal (1990), it has been adopted widely in information systems (IS) research. This paper analyzes the use of ACAP in IS research through a literature analysis of ACAP-related papers published in 52 reputable IS journals from 1990 to 2015. Drawing on a review of the evolution of ACAP, the analyses conducted include: (1) descriptive analysis of ACAP in IS papers; (2) domains of ACAP usage; (3) analysis of hypotheses and propositions to show how ACAP is being used to explain various organizational phenomena in IS research; and (4) analysis of the measures to provide insights into the operationalization of ACAP in IS research. Our findings suggest that while the majority of the research correctly conceptualizes ACAP as a capability, various misalignments between ACAP conceptualization, operationalization and measurement, and the level of analysis in the literature continue to do a disservice to the accumulated research in ACAP. The findings and recommendations should help IS researchers to conceptualize and operationalize ACAP appropriately