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Initiation Economic Information for Decision Making Process in Housing Development Rozlin Zainal; Fazian Hashim; Sharifah Meryam Shareh Musa; Seow Ta Wee; Zarina Shamsudin; Noralfishah Sulaiman
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Conflict communication among developer and their team at all times happened due to limited financial information. A developer does not automatically construct a unit that will convince the recipients since they have their own viewpoint and mind of their needs, objectives, obstructions, and necessities of economic aspect. A decision is very hard to be made on the housing unit since the recipients have variance on numerous economic issues. This paper aims to identify the economic decision making information for housing development at the initiation phase in Malaysia. Delphi method is implemented in 3 rounds using a questionnaire survey which involved 34 private developers for data collection purposes. The finding shows that authority policies, a market of housing and timing (life cycle of a project) are most necessary information in the economic part. All of the economic information also illustrates that they are crucial and key factors in the decision-making process. The stages in the initiation phase require economic information in the form of a qualitative data bank of a developer.
Strategic Leadership, Organizational Innovativeness and the Firm Supply Performance: The Mediating Role of Information Technology Capability Pimploi Tirastittam; Kittisak Jermsittiparsert; Phutthiwat Waiyawuththanapoom; Wissawa Aunyawong
International Journal of Supply Chain Management Vol 9, No 2 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The main objective of the current study is to examine the impact of the strategic leadership, and the organizational innovation on the firm supply performance. Additionally, the study has examined the mediating role information technology capability in the relationship between the strategic leadership and firm supply performance, and between the organizational innovation and firm supply performance. The study has used the resource-based view, the theory is useful for IT research through resource attributes, which facilitates the relationship between IT resources and non-IT resources, since the resource-based theory establishes a clear link between resources and sustained competitive advantage. It is generally agreed upon by information system scholars that IT capabilities can act as key enablers of higher order organizational capabilities or interact with other. The study has used the SEM-PLS to examine the relationship between and among the variables. The response rate of the current study is 44.7 percent. The results have highlighted that the relationship between strategic leadership, organizational innovativeness and firm supply performance are significant. Results from the study give support to the key theoretical propositions. Precisely, the present study has succeeded in answering all the research questions as well as the objectives despite some of limitations. While there have been, numerous studies investigating the factors that affect strategy implementation, however, the current study addressed the theoretical gap by incorporating IT capability as a significant mediating variable for strategic leadership.
Estimation of Innovative Clusters Efficiency Based on Information Management and Basic Models of Data Envelopment Analysis Dmitry Vladimirovich Rodnyansky; Ruslan Agarunovich Abramov; Mikhail Leonidovich Repin; Elena Anatolevna Nekrasova
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Clusters and information management play an increasingly important role in the innovative development of regions and operational management. With the help of such structural entities, socially significant issues are being addressed, infrastructure development of the territories is being carried out, the investment climate is improving and various innovative projects are being implemented, new products, services, technologies are being created, the level and quality of life of the population is being raised. In our research we analyzed 24 innovative clusters created in the Russian Federation with the participation of the Ministry of Economic Development. We used econometric and statistical research methods. We analyzed financial investments made by both private investors and the state in the formation and development of clusters. After that, we compared the output parameters with the input financing and, based on the data envelopment analysis method, calculated the relative efficiency of the innovation clusters. We have identified 3 cluster benchmarks and made recommendations for improving the management system of the other clusters.
The Information Technology Enabled Entrepreneurial Culture as an Antecedent of Firm’s Performance of Rubber and Plastic Manufacturing Firms in Thailand: The Moderating Role of Supply Chain Technology Adoption Natnaporn Aeknarajindawat; Jetsalid Anesukanjanakul; Pornkul Suksod; Kulnaree Maneechote
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

This research examines the association between entrepreneurship, two types of IT (the managerial IT resources and Technology IT resources), and performance of firm. The research supports the capabilities enabled through IT for organizations. Cross-sectional survey data has been used for testing the hypotheses and proposed research model from a sample of 203 leading firms in Thailand. The results of data analysis show that the culture of entrepreneurship is an important capability, which can forecast the market performance of a firm. A positive influenced is created on the establishment of entrepreneurship culture in an organization by the managerial and technological IT resources. The performance of a firm is positively influenced by the managerial and technological IT resources through the entrepreneurship culture capability. The findings of this research have important implications for the managers. It has been suggested by the results that use of managerial and technological IT resources increases the ability of firm to establish a culture that supports innovation. Another important implication is related to the intermediation capability of organization that is entrepreneurship culture. It converts both managerial and technological IT resources into the performance outcomes. The research reveals the way in which entrepreneurship culture can be developed by firms. The crucial role of IT based resources is revealed in the development of organizational culture. Moreover, the paper reflects empirically and theoretically, the way in which business value can be generated by firms from the entrepreneurship culture supported by IT. This topic has received very limited attention.
Relationship between the Operational Risk, Operations and Information Management in Russian Banking Sector Dilyara Farilovna Zakirova; Elvira Farilovna Zakirova; Lenar Nailevich Safiullin; Bulat Ilfirovich Gatin
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The paper considers the issue of operational risk management in Russian commercial banks. The correlation and regression analysis also revealed the dependence of the operational risk level on liquidity risks (current and long-term liquidity ratios) and crediting risks (the amount of overdue debt, the aggregate risk for bank insiders, and reserves for possible losses on loans and equivalent debt). It has been proved that with the growth of current and long-term liquidity ratios, overdue debts and reserves for possible losses on a loan, loan debt and its equivalent ratios, the operational risks of credit organizations in Russia grow, whereas with an increase in the aggregate risk for bank insiders (H10.1), the level of operational risks of the banking sector is reduced. The values of operational risk in the banking sector of the Russian Federation are predicted on the basis of the scenario approach for 2019-2020. As part of the pessimistic and moderate growth scenario, an increase in the level of operational risks is predicted, which makes it necessary to implement new approaches to managing this type of risk in credit institutions and introduce new methods of managing operational risk by the Central Bank of the Russian Federation.
ASPECTS OF INFORMATION AND ANALYTICAL SUPPORT FOR THE SUPPLY CHAIN MANAGEMENT OF HEALTHCARE CUSTOMERS’ LOYALTY Anatolyevna Ivanova, Irina; Vasilievna Glukhova, Tatyana
International Journal of Supply Chain Management Vol 9, No 2 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Abstract- The practice of managing customer loyalty to the organization?s services based on the concept of Customer Relationship Management (CRM) is becoming increasingly relevant in the supply chain strategies. It is necessary to study potential consumers, identify their requirements and develop a competent marketing strategy for building mutually beneficial relations of the organization with customers. The development of a mechanism for assessing consumer loyalty to the healthcare facility services, its automation with the help of customer relationship management tools should be methodologically justified. Purpose. The research is aimed at developing a methodological approach to healthcare customer loyalty assessment, including identification of target and profitable segments, regulation of business processes, analysis of the customer database and business environment of an organization to increase the effectiveness of its marketing activities. Systemic research of customer relationships includes the following methods and tools: Data Mining methods with instrumental support of Statistica software, including factor analysis and formation of databases of endogenous and exogenous variables; specification of a mathematical model; correlation analysis; variable multiple linear regression analysis based on the generalized least squares method; model verification using R2-statistics and Fisher (F-test) and Student (t-test) criteria; ABC- and XYZ analysis of revealing customer consumption profiles; the analytic hierarchy process (AHP) based on expert assessments of the multicriteria problem solution while evaluating the support tools for managing consumer loyalty with a hierarchical structure. The practical and theoretical significance of the results. A methodological approach has been developed to identify healthcare facility (HCF) customer preferences, implemented using a variable multiple linear regression model, including both quantitative (age, number of bed days, etc.) and qualitative (social status, gender, marital status, parental status, education, medical service type) exogenous variables. Consumption profiles of HCF services have been constructed on the basis of their clustering and classification using ABC- and XYZ analyzes. An algorithm for evaluating the support tools of the consumer loyalty analysis has been proposed. The analysis of consumer demand for the organization?s services enables to develop an algorithm for assessing consumer loyalty management information systems, to form a system of indicators characterizing potential customers and their preferences in the medical services market; the most rational and customer-oriented services that reflect the customer?s consumption profile. The results can be used as practical tools for improving the economic efficiency of the organization depending on the cluster dynamics of consumption and changes in personal customer characteristics and CRM-based marketing performance support tools.
Empirical Testing of the Implementation of Supply Chain Management and Successful Supporting Factors of Management Accounting Information Systems Leny Suzan; Sri Mulyani; Citra Sukmadilaga; Ida Farida
International Journal of Supply Chain Management Vol 8, No 4 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Abstract-This study aims to measure empirically tested conceptual models regarding the magnitude of intellectual capital influence, operational risk management, and business strategy on the effectiveness of management accounting information systems and their implications on the performance of a balanced scorecard based company. This research used sensus as sampling technique, it used all existing population. This research was conducted using a survey method in Banking Sectors in Indonesia based on the supply chain management. Data analysis was performed using Structural Equation Model (SEM) approach alongside a Linear Structural Relationship (Lisrel) analysis tool. The results of the study found that intellectual capital, operational risk management, and business strategy have a significant positive effect on the effectiveness of accounting information system, while its significance on the performance of balanced scorecard based company operational risk management and business strategy alone has a significant positive effect. While the effectiveness of accounting information systems are known to have significant implications on the company’s performance-based balanced scorecard.
Moderating Effect of Information Sharing On the Relationship of Supply Chain Management Capabilities and Business Performance: A Study of the Food Industry Sittichai Pintuma; Martusorn Khaengkhan; Phutthiwat Waiyawuththanapoom; Wissawa Aunyawong
International Journal of Supply Chain Management Vol 9, No 2 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Indonesia is viewed as one of the biggest exporters and producer of foods and also plays an essential role in the development of Indonesia economy. Nevertheless, food industry provides help to the country to generate high level of income. To effect the performance of food industry, there are lot of factors. For this purpose, it is intensively challenging to choose that factor which effects more in the performance of food industry that could lead to a negative or the positive impact on another factor. Therefore, objective of the study is to explore the moderating effect of the information sharing on the relationship of supply chain management (SCM) capabilities and business performance (BP) of Indonesia food industry. Using cross sectional research design, 500 questionnaires were distributed among the supply chain managers of food industry by using a judgmental sampling technique which yield a 40% response rate. The data was analyzed by the Structural Equation Modeling technique. The key findings of the study have shown that SCM capabilities have positive and significant association with the BP. Similarly, it was also shown that information sharing significantly moderates within two components of SCM namely, strategic sourcing, technology capability and BP. Whereas has insignificant moderating effect on the relationship of logistic integration commitment and BP.  Hence, current study contributed some theoretical implications in the existing body of literature. The study limitations and future directions are also being discussed.
The Information Technology Capability and Financial Performance of Global Auto Firms in Thailand: The Role of the Supply Chain as a System of Internal and External Collaboration Sumalee Srisuponvanit; Jetsalid Anesukanjanakul; Chonticha Somjai; Vanisa Pakvichai
International Journal of Supply Chain Management Vol 8, No 6 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The researcher specifies the relation between the latent and observed variables and inter-correlation is allowed between all the factors. This research is based on proposing and evaluating the model based on the association between internal and external collaboration, IT capability, and performance of a firm. The study results in important implications, which are important from managerial and theoretical perspectives. The study contributes in a significant way through testing empirically the theoretical assumptions in the previous literature based on the influence of IT on firm performance and collaboration. The study has used the SEM-PLS as a statistical technique to answer the research questions. In this research, it has been considered that there are two constructs of collaboration. Separate constructs have been developed for internal and external collaboration. Moreover, stages are involved in collaboration including simple sharing of information to a truly developed collaboration. A key finding of this study is the influence of internal collaboration on the performance of firm. This finding has been suggested by several research studies, but it does not confirm the crucial role served by internal collaboration. The study, which is among the pioneering studies on the issue will provide policy guidelines to relevant ministry and also helps the researchers in understanding the issues in the Thai auto industry.
The Neural Network Model of DDoS Attacks Identification for Information Management Fail Fanilevich Mukhametzyanov; Alexey Sergeevich Katasev; Amir Muratovich Akhmetvaleev; Dina Vladimirovna Kataseva
International Journal of Supply Chain Management Vol 8, No 5 (2019): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

The paper discusses the concept and problem of identifying DDoS attacks for information management. The main starting mechanisms and types of DDoS attacks are analyzed. To identify them, signature and behavioral methods of analyzing network traffic are used. Analysis of the advantages and disadvantages of these methods actualized the need for their combined use. To detect and classify DDoS attacks, the need to develop and use a neural network model has been updated. The training and testing of the model were made on the initial data from the NSL-KDD set. All lines in this set are represented as sequences of TCP packets, UDP packets, and ICMP packets of network traffic transmitted from the source of the attack to the attacked network node. The total sample size was 8067 lines. Of these, half of the data corresponded to DDoS attacks, and the rest of the data characterized clear connections. The Deductor modelling environment was used to build the neural network model. The constructed neural network model was a single-layer perceptron with 11 input neurons, 23 hidden neurons and 1 output neuron. The accuracy of the constructed model was calculated based on contingency tables. The accuracy of the initial data classification at the training stage was 97.94%. The classification accuracy at the testing stage was 97.87%. To assess the quality of the neural network model, the errors of the first (0.93%) and second (3.3%) type are calculated. Testing the model showed good results since almost all DDoS attacks were successfully classified. Thus, the neural network model for detecting DDoS attacks has successfully solved the task of identifying and classifying malicious network connections.

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