578 research outputs found

    Integrating Multiple Criteria Decision-Making Models Into the Decision Support System Framework for Marketing Decisions

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    The paper focuses on integrating the multiple criteria decision making (MCDM) models within the decision support system (DSS) framework to encourage greater use of these models. A DSS framework and the criteria used for the choice of a model is discussed. Based on these criteria MCDM models generally used in the marketing field are evaluated. The possibility of using a mixture of MCDM models within the DSS framework is also explored. Following this, the role of the MCDM models in DSS is delineated. It is argued that, within the problem-solving process, the confluence of MCDM models and DSS plays a vital role in developing high-quality solutions

    Integrating Multiple Criteria Decision-Making Models Into the Decision Support System Framework for Marketing Decisions

    Get PDF
    The paper focuses on integrating the multiple criteria decision making (MCDM) models within the decision support system (DSS) framework to encourage greater use of these models. A DSS framework and the criteria used for the choice of a model is discussed. Based on these criteria MCDM models generally used in the marketing field are evaluated. The possibility of using a mixture of MCDM models within the DSS framework is also explored. Following this, the role of the MCDM models in DSS is delineated. It is argued that, within the problem-solving process, the confluence of MCDM models and DSS plays a vital role in developing high-quality solutions

    Entrepreneurial Strategies to Mitigate the High Failure Rates of Small Retail Businesses

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    The high rate of business failures within the first 5 years negatively affects half of startup business owners. Small retail business owners who fail to develop innovative entrepreneurial strategies experience high failure rates within the first 5 years of operation. Grounded in self-determination theory, the purpose of this qualitative multiple case study was to explore entrepreneurial strategies small retail business owners use to support long-term sustainability. Participants were five small retail business owners from Southern Illinois who successfully used entrepreneurial strategies to reduce high failure rates. Data were collected from semistructured interviews and internal documents relevant to reducing high failure rates and analyzed using Yinā€™s 5-step process. Three themes emerged: (a) entrepreneurial mindset, (b) social media strategy, and (c) innovation. A key recommendation is that small retail business owners have a positive mental attitude and take calculated risks. The implications for positive social change include the potential to increase employment opportunities and to improve the quality of life for residents in local communities

    European Airport Concessions: Retail Strategies to Improve Commercial Revenue from Leisure Travelers

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    Aeronautical revenue from landing and handling charges to carriers is falling significantly below 60% of total revenue and will not persist as the main source of income for airports. Airports in Europe cannot continue to rely on profits from airlines; operating companies need to improve the competitiveness through commercial income from different traveler types. The purpose of this multiple case study was to understand the elements of successful sales strategies by concessionaires (retailers) at the metropolitan airport system of Zurich and Basel in hopes of improving the nonaeronautical revenue from leisure travelers, a price-sensitive customer segment. The conceptual framework was corporate strategic planning with the underlying concept of sustainable business operations. Semistructured interviews included 9 executives and senior managers of concessions and retail operations at Zurich International and Basel EuroAirport, and covered major themes such as managing the shopping experience of passengers as well as collaboration between concessionaires, airports, and airlines. The key findings, which emerged from an inductive analysis of the data, were that the identification of personalized offerings and the inclusion of individual travelers\u27 needs are required to ensure a flexible approach by each airport and shop location throughout the terminal. The collected data contained indicators for holistic and targeted concepts by retail concessions in cooperation with airport stakeholders. Social implications include sustainable retail strategies by promoting value adding products and services, improving the passenger\u27s travel experience, and ensuring the profitability of concessionaires in a changing aviation market

    Challenges and Implications of Implementing Strategic Intelligence Systems in Mexico

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    Business intelligence (BI) allows companies to make faster and better-informed decisions. Unfortunately, implementing BI systems in companies in developing countries is minimal. Limited and costly access to the technology, coupled with the cultural background affecting how people perceive BI, has restricted such implementations. The purpose of this phenomenological study was to explore and describe the lived experiences of chief executive officers (CEOs) in northern Mexico to obtain insight into the challenges of implementing BI systems. Research questions focused on the reasons behind the lack of BI systems implementation and the challenges faced by these officers when implementing a new system. This study employed semistructured interviews of 9 CEOs of small- to medium-sized companies. Interview data were coded using open coding techniques to develop themes or patterns, which in turn were aggregated to address the research questions. The lack of implementation was largely attributed to an economic concern among CEOs regarding the final price of implementation. In addition, the lack of systems offerings of localized systems and the working culture of the personnel were significant factors for the lack of investment. These findings may contribute to positive social change by informing managers and officers of companies in Mexico and other developing countries about the challenges and implications in BI implementation. When BI systems can be successfully implemented, both companies and their customers may benefit from improved information processing such as reduced number of errors and faster response times

    Industry Best Practices Contributing to Small Business Success

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    Small business owners generate jobs within the local community, but half of new business owners often fail to sustain operations for the first five years. The purpose of this qualitative descriptive study was to explore strategies that small business owners in central Texas used to sustain their businesses beyond the first 5 years. Schumpeter\u27s theory of economic development grounded the study. Data collection included semistructured face-to-face interviews with a purposeful sample of 20 small business owners due to their success in creating strategies resulting in sustaining their businesses beyond 5 years in a postrecession business environment. All interpretations from the interview data included member checking to validate the credibility of the findings. Using the van Kamm method for thematic analysis, four themes emerged that included conducting business near federal and state organizations, having a business mentor, improving competitive positioning by focusing on improving both the quality of goods and services as well as innovating the customer experience, and adapting to rapidly changing economic conditions and destabilizing events with optimism and perseverance. Of these, the two most successful strategies entrepreneurs employed to improve survivability was conducting business near federal and state organizations with concentrated levels of workforce employees for sustained levels of returning business, as well as having one or more business mentors as an external source of entrepreneurial mentorship or information. Social change implications for small business owners include the potential to provide new strategies for small business sustainability, reductions in local unemployment rates, and improved community-based networks

    Electricity Sector Reform: Sourcing and Cost Management of Electricity for Steel Manufacturing in Nigeria

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    In 2014, Lazard levelized cost of energy analysis model priced diesel powered systems at 0.225ā€“0.225 ā€“ 0.404/KWh and a range of 0.165ā€“0.165 ā€“ 0.242/KWh for gas-powered systems. The model gave a range of 0.28ā€“0.28 ā€“ 0.33/kWh for diesel and a range of 0.14/kWhā€“0.14/kWh ā€“ 0.16/kW for gas ļ¬red. Nigeria has an abundance of gas reserves, but heavy gas ļ¬‚aring by oil companies perpetuates power failure across Nigeria. What has resulted is an unreliable electricity infrastructure and a high cost of alternative energy. The Electricity Power Sector Reform Act of 2005 started the reform process. Guided by decision theory, the purpose of this multiple case study was to understand the perceptions of business leaders at the steel manufacturing businesses on how the use of multiple supply sources of electricity might lead to survival, growth, and profitability. The studyā€™s population consisted of 10 steel manufacturing companies in the Southwest region of Nigeria. The data were collected via semistructured interviews with the leaders who source energy, a review of archival records, and observations of company officials placing orders from multiple sources. The van Kaam method of data analysis generated 5 themes: cost of generating electricity and the investment in alternative sources of energy, erratic power supply and its impact on the steel production industry, quality of power supply relative to the capacity and its impact on profits, electricity factor in the steel production process, and use of multiple sources. These findings may contribute to social change by increasing employment opportunities for members of the local community, who will have an enhanced understanding about steel and seize entrepreneurial opportunities

    Small Business Restaurant Owners\u27 Financing Strategies for Sustainability

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    Owners of small business restaurants experience a high failure rate. Many small business restaurants fail within 5 years of inception because of inadequate business plans, ineffective strategies for changing markets, and a lack of financial capital to achieve profitability, growth, and long-term survivability. The purpose of this multiple case study was to explore the financial strategies that some owners of small business restaurants used to sustain operations for longer than 5 years. The resource-based view was the conceptual framework for this study. Participants in this study consisted of 5 owners of small business restaurants in northern California who implemented successful strategies to survive in business longer than 5 years. Data were collected through face-to-face interviews with participants, member checking, and a review of company documents. Using Yin\u27s 5-phase data analysis process of compiling, disassembling, reassembling, interpreting, and concluding the data, 3 emergent themes were identified: financing strategy, cash-flow-management strategy, and customer-retention strategy. The implications of this study for positive social change include the potential for owners of small business restaurants to reduce the failure rate of small restaurants, decrease local unemployment rates, and increase economic stability for local families and organizations through the implementation of effective financial strategies

    Four Lessons in Versatility or How Query Languages Adapt to the Web

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    Exposing not only human-centered information, but machine-processable data on the Web is one of the commonalities of recent Web trends. It has enabled a new kind of applications and businesses where the data is used in ways not foreseen by the data providers. Yet this exposition has fractured the Web into islands of data, each in different Web formats: Some providers choose XML, others RDF, again others JSON or OWL, for their data, even in similar domains. This fracturing stifles innovation as application builders have to cope not only with one Web stack (e.g., XML technology) but with several ones, each of considerable complexity. With Xcerpt we have developed a rule- and pattern based query language that aims to give shield application builders from much of this complexity: In a single query language XML and RDF data can be accessed, processed, combined, and re-published. Though the need for combined access to XML and RDF data has been recognized in previous work (including the W3Cā€™s GRDDL), our approach differs in four main aspects: (1) We provide a single language (rather than two separate or embedded languages), thus minimizing the conceptual overhead of dealing with disparate data formats. (2) Both the declarative (logic-based) and the operational semantics are unified in that they apply for querying XML and RDF in the same way. (3) We show that the resulting query language can be implemented reusing traditional database technology, if desirable. Nevertheless, we also give a unified evaluation approach based on interval labelings of graphs that is at least as fast as existing approaches for tree-shaped XML data, yet provides linear time and space querying also for many RDF graphs. We believe that Web query languages are the right tool for declarative data access in Web applications and that Xcerpt is a significant step towards a more convenient, yet highly efficient data access in a ā€œWeb of Dataā€
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