• Asia-Pacific Journal of Business
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• v.5 no.2
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• pp.51-64
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• 2014

Strategic bundling of Human Resource Management (HRM) practices among themselves works together as an entire HRM system rather than individual HRM practices to achieve organizational objectives. The bundles of HR practices support the effectiveness of one another assuming the effectiveness of any practice depends on other practices in place. It is said that the greater the total degree of bundling among the various components of HRM policies and practices, the more will be the organizational outcomes. Realizing these facts, this study aimed to explore the level of strategic bundling and examined the impact of such bundling on organizational performance to the publicly listed companies of Nepal. This empirical study is based on description and exploratory design for which data collected through the questionnaire based on 5-point liker scale. Total population of the study at the time of data collection are 234 organizations publicly listed in Stock Exchange of Nepal. Questionnaire is distributed to all organizations listed, response received from 105 organizations, as a unit of analysis, which is fairly good response. The study of strategic bundling of HRM practices perhaps the first study in Nepal, found that only 32 percent organizations have followed high bundling HR practices and these high bundling organizations are significantly different with low bundling organizations. Business organizations are trying to practice being close association of HRM policies and practices within them except labor relation with employee participation and business strategies. Supporting to the international literature, strategic bundling of HRM practices among themselves shows statistically significant effects on quality of product or services, labor productivity, financial performance, employee satisfaction, rate of innovation, employee commitment and market share.

• Journal of Distribution Science
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• v.13 no.10
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• pp.15-21
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• 2015

Purpose - This study examines a bundling effect on production and distribution in a patent-protected industry. Despite the heavy use of bundling strategies in the information and technology industry, literature has paid scant attention to bundling of intellectual property rights. This study examines a theoretical exploration of the bundling effect on licensing behavior. Research design, data, and methodology - To address this behavior, we build a simplified model consisting of three stages: 1) bundling decision, 2) licensing agreement, and 3) competition. The subgame perfect Nash equilibrium is applied to the model. Results - A single-patent holder with superior technology grants its own license to the multiple-patent firm, thereby leaving the market. Anticipating the single right holder's licensing strategy, the multiple-patent firm offers a bundle, making the single-right holder's bargaining position weaker. Conclusions - Bundling is an effective business strategy, resulting in multiple products for a firm as it faces other firms with single-product lines in each market. Taking advantage of the multi-patent or multi-product lines, the firm utilizes the bundling strategy obtaining better technology from the standalone single-patent firms.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.19-43
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• 2014

Categorization means the process labeling or identifying an object based on what people already know or its similarity for people to be easily perceptible in external environment. If it is categorized, it is schematically conjectured from typical characteristic of the category. In this sense, the categorization of new products has an important effect upon the market performance. Nevertheless, the categorization of innovative new products is not easy and occasionally very ambiguous. In this study, we discuss how to strengthen the categorization strategy of new hybrid IT products through complementary bundling. The model of this study is based on Technology Acceptance Model (TAM) with resistance variable and verifies the statistical significance by undertaking a survey on consumers' awareness. In addition, we review the moderating effects of prior knowledge in the adoption process of complementary bundling. Through this analysis, we find out the structural relationship among the factors affecting adoption of complementary bundling. Also, it show that the influence of prior knowledge in respect of the adoption process is greater than others in case that there exists significant heterogeneity among strategic categories and complements. In conclusion, these findings suggest the following managerial implication. The categorization strategy of new hybrid IT product can be enhanced by complementary bundling, but the suitability among strategic category and complements should be evaluated exhaustively.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.833-843
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• 2016

Purpose: The purpose of this study is to evaluate the value of smart home service using contingent valuation method that is the method evaluating the value of service which will be provided in the future. Using this method, this study suggests proper price and market value of smart home service through figuring out customer's willingness to pay. Methods: To estimate willingness to pay for smart home service, this study uses double bounded dichotomous choice question. The survey was conducted for 2 months from December in 2015 to February in 2016. A total of 269 copies were used to estimate through R-programming. Results: The results of this study are as follows; Gender(especially woman), income, proposed price are the factors which affecting willingness to pay. As the result of this study, average price of willingness to pay for smart home service estimates as \29,653. Comparing with high-speed internet bundling service fee, this estimated price for smart home service is appropriate level for customers to accept. Conclusion: This study estimates consumer's willingness to pay for smart home service which is in the market entry stage. In corporate side, this study might be meaningful for estimating investment scale and profit. Also it could provide basis for establishing strategic policy to develop smart home service market in government side.