Template-Type: ReDIF-Article 1.0 Author-Name: Sophia L. Zhou Title: REAL ESTATE TREND PREDICTION USING LINEAR REGRESSION AND ARTIFICIAL NEURAL NETWORK TECHNIQUES Abstract: An accurate assessment of future housing prices is crucial to critical decisions in resource allocation, policy formation, and investment strategies. In this work, linear regression and artificial neural network were employed to model home price indices, using datasets of the S&P/Case-Shiller home price index and twelve demographic and macroeconomic features in five metropolitan statistical areas: Boston, Dallas, New York, Chicago, and San Francisco. The data, ranging from March 2005 to December 2018, were collected from the Federal Reserve Bank, the Federal Bureau of Investigation, Macrotrends, and Freddie Mac. Three time-lagging situations were compared: no lag, a 6-month lag, and a 12-month lag. Since some data were available monthly, some quarterly, and some annually, two methods to compensate missing values, backfill and interpolation, were compared. The models were evaluated for accuracy and mean absolute error. The results showed that linear regression performed well in predicting long-term trends, while artificial neural network was suitable for short-term prediction. It was found that input factors that were statistically significant varied in different areas. The results also showed that the technique to compensate missing values and the implementation of time-lag influenced the models’ performances, both of which require further investigation. Classification-JEL:R310 Keywords: Housing Price Index Prediction, Linear Regression, Artificial Intelligence, Random Forest, and Linear Regression Journal: Global Journal of Business Research Pages:1-16 Volume: 16 Issue: 1 Year: 2022 File-URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v16n1-2022/GJBR -V16N1-2022-1.pdf File-Format: Application/pdf Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:1-16 Template-Type: ReDIF-Article 1.0 Author-Name: Tzu-Ching Weng Author-Name: Chieh-wen kuo Chem Author-Name: Pei-Jung Lee Title: THE INFLUENCE OF MANAGEMENT COMPENSATION ON DIVERSIFICATION STRATEGY Abstract: The main purpose of this study is to examine the effects of managerial compensation on corporate diversification strategy. Managerial compensation is not only related to personal income but also closely linked to the firm’s equity and long-term development strategies. In the pursuit of self-interest by the principal and the agent, both parties seek to maximize their benefits. Previous studies have indicated that related diversification is better for resource sharing and synergy, leading to a category economy. This study uses valid sample observations to analyze narrative statistics, and then uses ordinary least square linear regression analysis. This leads to the following conclusions: First, the compensation system for manager rights and interests is positively correlated with the overall degree of diversification. Second, the system of cash compensation for managers is relatively irrelevant to the overall degree of diversification. Third, the size of the company is positively correlated with the degree of overall diversification. Classification-JEL: G32, G34, M41 Keywords: Management Compensation, Corporate Diversification Strategy Journal: Global Journal of Business Research Pages: 17-40 Volume: 16 Issue: 1 Year: 2022 File-URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v16n1-2022/GJBR -V16N1-2022-2.pdf File-Format: Application/pdf Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:17-40 Template-Type: ReDIF-Article 1.0 Author-Name: Wasfi Alrawabdeh Title: FACTORS AFFECTING USERS COMMENTS, INTENTION TO SHARE, AND SHARING ATTITUDE: EVIDENCE FROM THE FACEBOOK PLATFORM Abstract: Billions of people use Facebook sites as active users every day. Moreover, the number of users increases daily. Hundreds of millions of adds, messages, stories, and comments are placed each day as well. Few studies have examined why Facebook users share their views and study the factors that affect such intentions. A set of factors were used to study Facebook users' intention to share. We considered entertainment, informativeness (information sharing), socialization, peer friend effect, and self-efficacy. Further, this study adds value to the literature by investigating if the intention to share influences users’ sharing attitude. A quantitative approach was used to collect primary data from 253 users. Smart partial least squares were used to test the primary data suitability. Evidence shows the proposed study model fit the proposed study hypotheses. The study found that all factors studied affect Facebook users' intention to share information.The study results also support the proposed hypotheses and found a positive influence of intention to share on sharing attitude. Additional information explains theoretical and empirical applications and proposes future research areas. Classification-JEL: M30, M31 Keywords: Social Media, Facebook, Entertainment, Intention To Share, Information Sharing, Entertainment, Social Influence –Socialization, Friends, Peer Friends, Self-Efficacy Journal: Global Journal of Business Research Pages: 41-55 Volume: 16 Issue: 1 Year: 2022 File-URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v16n1-2022/GJBR -V16N1-2022-3.pdf File-Format: Application/pdf Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:41-55 Template-Type: ReDIF-Article 1.0 Author-Name: Kuan-Ju Lin Author-Name: Yahn-Shir Chen Title: CROSS-BORDER INDUSTRIAL EXCHANGES AND COOPERATION: EVIDENCE FROM JAPAN AND TAIWAN Abstract: Taiwan and Japan have successively initiated industrial collaboration policy and incentive measures since 2011. Japanese local governments place Taiwan as a key globalization area. They wish to enhance their exchanges and cooperation with Taiwan, leading to significant effects on trade and investment between two countries. Specifically, Tokai region (Tōkai-chihō) and Taiwan have had a close relationship in trade, investment and tourism. After the 2011 Northeastern Great Earthquake in Japan, Tokai region actively promoted industry collaboration and exchanges with Taiwan. This study completes an in-depth interview and questionnaire survey of six companies in Tokai region to investigate the current status and viewpoints of development and topics of bilateral industrial collaboration after 2011. This study finds that collaboration plays a complementary role of industrial advantages for Japanese companies and matches the visions and goals of bilateral collaboration plans. Taiwan and Japan intensively interact to solve the topics faced and identify countermeasures to adapt to the variable situations during the collaboration. Classification-JEL: M38 Keywords: Tokai Region, Japan, Taiwan, Taiwan-Japan Industrial Collaboration Journal: Global Journal of Business Research Pages: 57-73 Volume: 16 Issue: 1 Year: 2022 File-URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v16n1-2022/GJBR -V16N1-2022-4.pdf File-Format: Application/pdf Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:57-73 Template-Type: ReDIF-Article 1.0 Author-Name: Cheng-Sheng Tung Author-Name: Feng-Jyh Lin Title: CRITICAL SUCCESS FACTORS FOR BUSINESS DISTRICT OPERATIONS IN TAIWAN Abstract: This study examined the Dakeng Business District in Taichung, Taiwan in terms of the critical success factors for business district operation. Three dimensions, namely spatial design, service quality, and marketing and promotion, and 17 evaluation criteria were used, and a simple regression analysis was performed to identify the relationship between tourist loyalty and critical success factors. The results indicated that the critical success factors used in this study can serve as a reference for the Dakeng Business District, related municipal government agencies, and scholars researching business districts and their development. In terms of academic contributions, this study developed an evaluation framework for critical success factors for the operation of business districts. Classification-JEL: M2, R1 Keywords: Business District, Business Management, Critical Success Factors Journal: Global Journal of Business Research Pages: 75-90 Volume: 16 Issue: 1 Year: 2022 File-URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v16n1-2022/GJBR -V16N1-2022-5.pdf File-Format: Application/pdf Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:75-90 Template-Type: ReDIF-Article 1.0 Author-Name: Benedict E. DeDominicis Title: WEB3, HEGEMONY AND ANONYMITY: THE TRANSNATIONAL SOCIAL IDENTITY DYNAMICS OF GLOBALIZED NATIONAL POLITICAL ECONOMIC INTERDEPENDENCY Abstract: This paper highlights that hegemony has its foundation in the authority of the nation state, manifested clearly in the community value consensually affirmed in the value of fiat currency. State authority permits the potential for the existence of the so-called rule of law, both in its explicit legal forms and in its habitual patterns of behavior on the basis of mutual expectations. State regulation in enforcing property rights is critical for the real functioning of markets the outcomes of which functionally reaffirm state authority. This reaffirmation emerges both by reinforcing its material resources and also by seeking exceptions that exploit state authority while circumventing transparency. The release of the Panama, Paradise and Pandora papers reveal the arena of technically, typically legal financial market transactions. Yet they appear to violate commonly, habitually held normative assumptions in national communities, particularly in socalled developed societies. The reaction of many participants in these lightly regulated and even criminal endeavors is to challenge the legitimacy of the state authority that attempts to impose these obligations. The value of Web3 blockchains includes anonymity as a reactionary resistance to this state authority and hegemony. Cryptocurrencies are dialectical creations of national rule of law in the interstate system. Classification-JEL: D73, E02, F5, H00, K4 Keywords: Complex Interdependency, Corruption, Cryptocurrency, Hegemony, Nationalism, Social Identity Theory Journal: Global Journal of Business Research Pages: 91-119 Volume: 16 Issue: 1 Year: 2022 File-URL: http://www.theibfr2.com/RePEc/ibf/gjbres/gjbr-v16n1-2022/GJBR -V16N1-2022-6.pdf File-Format: Application/pdf Handle: RePEc:ibf:gjbres:v:16:y:2022:i:1:p:91-119