Openness and technological innovation: the moderating effect of information technology adoption and political ties

PurposeThis research helps firms pursue an open innovation strategy but want to minimize competitive pressure from other external entities. A theoretical framework is constructed to analyze the impact of openness on innovation performance, exploring different effect of firms' external search channels.Design/methodology/approachThis paper employs a stepwise hierarchical regression approach to assess the effect of openness on technological innovation considering the role of information technology adoption and political ties. The effect is conducted using a large-scale sample of 1,073 Chinese manufacturing firms over the period 2011–2013 as empirical research objects.FindingsThere are two stages of the open technological innovation process while the information technology (IT) adoption and political ties are the key consideration in emerging markets. Openness is curvilinearly (taking an inverted U-shape) related to innovation performance. Both information technology adoption and political ties generally help firms to turn broadly sourced external knowledge into technological innovation performance. This will stimulate “one plus one is greater than two” effect not only in the process of achieving performance goals, but also in the process of technological innovation.Originality/valueThis quantitative research illustrates the importance relationship between firms' open behaviors and technological innovation performance in emerging markets. It helps us understand firms' current constrains of open strategy of technological innovation and helps domestic or foreign investors to make strategic collaboration choices in emerging economies according to the degree of openness, informatization level, political connections, which is equally important for research and practice.

Information Technology Adoption on Digital Marketing: A Literature Review

Data generation is currently expanding at an astonishing pace, and the function of marketing is becoming increasingly sophisticated and customized. Companies seek to understand their internal corporate environment and externalities and to exponentially enhance their marketing power. This study aims to understand the influence of Big data analysis on digital marketing. The methodologies used to approach this issue were: (a) a systematic literature review based on articles dated between 2014 and 2020; and (b) a bibliometric analysis of articles dated between 2000 and 2020 using the software VOSviewer. The literature review allowed us to conclude that in the next decades, the business world in general, and marketing in particular, will define more oriented strategies based on a more profound knowledge of consumer behavior. Artificial intelligence agents driven by machine learning methods, technology, and Big data will be a conditioning factor in defining these strategies.

INFLUENCE OF PUBLIC PRIVATE PARTNERSHIPS ON PERFORMANCE OF PROJECTS AMONG STATE CORPORATIONS IN KENYA

Purpose: The purpose of the study was to determine the influence of public private partnerships on performance of projects among state corporations in Kenya with an aim of making recommendations to other institutions. Methodology: The researcher reviewed both theoretical and empirical literature and proposed to use the research methodology that addressed the gaps identified in literature as well as answer the stipulated research questions. This research study adopted a descriptive research design approach. The study prefers this method because it allows an in-depth study of the subject. The study employed stratified random sampling technique in coming up with a sample size of 127 respondents from a total of 187 target population. Structured and semi structured questionnaires were used to collect data. Data gathered from the questionnaires administered was analyzed by the help of Ms Excel and SPSS version 22, while output was presented inform of frequency tables and charts. The study used both descriptive and inferential statistics to show the relationship between variables Results and conclusion: The response rate of the study was 87%.The coefficient of determination also called the R2 was 0.634. R2 value of 0.634 means that 63.4% of the corresponding variation in performance of commercial building projects registered by National Construction Authority in Kenya can be explained or predicted by (information technology adoption, strategic partnerships, customer experience management, team management) which indicated that the model fitted the study data.The findings of the study indicated that information technology adoption, strategic partnerships, customer experience management and team management have a positive relationship with performance of commercial building projects registered by National Construction Authority in Kenya.The findings of the study indicated that legal framework, stakeholder involvement, value for money and risk management have a positive relationship with performance of projects among state corporations in Kenya Policy recommendation: The study recommended that public institutions should embrace public private partnerships so as to improve performance of projects among state corporations and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

INFLUENCE OF PUBLIC PRIVATE PARTNERSHIPS ON PERFORMANCE OF PROJECTS AMONG STATE CORPORATIONS IN KENYA

Purpose: The purpose of the study was to determine the influence of public private partnerships on performance of projects among state corporations in Kenya with an aim of making recommendations to other institutions. Methodology: The researcher reviewed both theoretical and empirical literature and proposed to use the research methodology that addressed the gaps identified in literature as well as answer the stipulated research questions. This research study adopted a descriptive research design approach. The study prefers this method because it allows an in-depth study of the subject. The study employed stratified random sampling technique in coming up with a sample size of 127 respondents from a total of 187 target population. Structured and semi structured questionnaires were used to collect data. Data gathered from the questionnaires administered was analyzed by the help of Ms Excel and SPSS version 22, while output was presented inform of frequency tables and charts. The study used both descriptive and inferential statistics to show the relationship between variables Results and conclusion: The response rate of the study was 87%.The coefficient of determination also called the R2 was 0.634. R2 value of 0.634 means that 63.4% of the corresponding variation in performance of commercial building projects registered by National Construction Authority in Kenya can be explained or predicted by (information technology adoption, strategic partnerships, customer experience management, team management) which indicated that the model fitted the study data.The findings of the study indicated that information technology adoption, strategic partnerships, customer experience management and team management have a positive relationship with performance of commercial building projects registered by National Construction Authority in Kenya.The findings of the study indicated that legal framework, stakeholder involvement, value for money and risk management have a positive relationship with performance of projects among state corporations in Kenya Policy recommendation: The study recommended that public institutions should embrace public private partnerships so as to improve performance of projects among state corporations and further researches should to be carried out in other public institutions to find out if the same results can be obtained.

INFLUENCE OF STRATEGIC MANAGEMENT BEST PRACTICES ON PERFORMANCE OF COMMERCIAL BUILDING PROJECTS REGISTERED BY NATIONAL CONSTRUCTION AUTHORITY IN NAIROBI CITY COUNTY, KENYA

Purpose: The purpose of the study was to examine influence of strategic management best practices on performance of commercial building projects registered by national construction authority in Nairobi City County, Kenya Methodology: A descriptive survey design was adopted by the study and a total of 289 commercial building projects registered by National Construction Authority in Nairobi City County was the target population, as shown in NCA (2020) directory. Using Kothari (2014) sample size formula, the study got 167 commercial building projects. This study used simple random sampling to get the firm. A structured questionnaire was used to collect primary data. The questionnaire was set in likert scale format to capture quantitative data. Data analysis entailed descriptive analysis such as means, frequency and percentages. Data was also analyzed through inferential analysis which entails correlation and regression. Statistical tests were conducted at five percent level of significance and the findings were presented through tables and figures. Results and conclusion: The coefficient of determination also called the R2 was 0.634. R2 value of 0.634 means that 63.4% of the corresponding variation in performance of commercial building projects registered by National Construction Authority in Kenya can be explained or predicted by (information technology adoption, strategic partnerships, customer experience management, team management) which indicated that the model fitted the study data.The findings of the study indicated that information technology adoption, strategic partnerships, customer experience management and team management have a positive relationship with performance of commercial building projects registered by National Construction Authority in Kenya. Policy recommendation:the study recommends that companies should embrace strategic management best practices so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.

INFLUENCE OF STRATEGIC MANAGEMENT BEST PRACTICES ON PERFORMANCE OF COMMERCIAL BUILDING PROJECTS REGISTERED BY NATIONAL CONSTRUCTION AUTHORITY IN NAIROBI CITY COUNTY, KENYA

Purpose: The purpose of the study was to examine influence of strategic management best practices on performance of commercial building projects registered by national construction authority in Nairobi City County, Kenya Methodology: A descriptive survey design was adopted by the study and a total of 289 commercial building projects registered by National Construction Authority in Nairobi City County was the target population, as shown in NCA (2020) directory. Using Kothari (2014) sample size formula, the study got 167 commercial building projects. This study used simple random sampling to get the firm. A structured questionnaire was used to collect primary data. The questionnaire was set in likert scale format to capture quantitative data. Data analysis entailed descriptive analysis such as means, frequency and percentages. Data was also analyzed through inferential analysis which entails correlation and regression. Statistical tests were conducted at five percent level of significance and the findings were presented through tables and figures. Results and conclusion: The coefficient of determination also called the R2 was 0.634. R2 value of 0.634 means that 63.4% of the corresponding variation in performance of commercial building projects registered by National Construction Authority in Kenya can be explained or predicted by (information technology adoption, strategic partnerships, customer experience management, team management) which indicated that the model fitted the study data.The findings of the study indicated that information technology adoption, strategic partnerships, customer experience management and team management have a positive relationship with performance of commercial building projects registered by National Construction Authority in Kenya. Policy recommendation:the study recommends that companies should embrace strategic management best practices so as to improve performance and further researches should to be carried out in other institutions to find out if the same results can be obtained.