The purpose of this study is to examine the relevance of academic research, in terms of the topic match, to commercial practise in information technology, using the case study of a large and very rapidly growing supplier that uses leading-edge management approaches, Salesforce.com.,Academic literature review and review of commercial literature and information published by Salesforce.com.,Academics’ choice of topics matches the issues and topics present in the development of Salesforce.com, but suffers from the lack of interdisciplinary approach and particularly fails to integrate technical, marketing and financial approaches.,The case study is of only one company, though an important one, although other large companies are involved e.g. Amazon Web services. However, the approach could easily be widened to several companies.,The case study approach will help academics focus on creating more applicable research and help students to learn about companies and may also eventually help practitioners to create thought leadership.,If the financial and economic aspects of such case studies are integrated with other business aspects, these will provide a better view of the positive (or negative) contribution made by companies such as the one in the case study.,This is the first time that a case study has been examined in the context of the relevance/rigour debate.
{"title":"Relevance of academic research in information technology and information management","authors":"M. Stone, Emmanuel Kosack, Eleni Aravopoulou","doi":"10.1108/bl-05-2020-0034","DOIUrl":"https://doi.org/10.1108/bl-05-2020-0034","url":null,"abstract":"The purpose of this study is to examine the relevance of academic research, in terms of the topic match, to commercial practise in information technology, using the case study of a large and very rapidly growing supplier that uses leading-edge management approaches, Salesforce.com.,Academic literature review and review of commercial literature and information published by Salesforce.com.,Academics’ choice of topics matches the issues and topics present in the development of Salesforce.com, but suffers from the lack of interdisciplinary approach and particularly fails to integrate technical, marketing and financial approaches.,The case study is of only one company, though an important one, although other large companies are involved e.g. Amazon Web services. However, the approach could easily be widened to several companies.,The case study approach will help academics focus on creating more applicable research and help students to learn about companies and may also eventually help practitioners to create thought leadership.,If the financial and economic aspects of such case studies are integrated with other business aspects, these will provide a better view of the positive (or negative) contribution made by companies such as the one in the case study.,This is the first time that a case study has been examined in the context of the relevance/rigour debate.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80433657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this study is to underpin the impact of cloud computing in global accounting information systems (AIS). Moreover, it investigates the key aspects that ought to be considered by the organization before choosing to pick the correct accounting system.,The study looks at and depends on narrative investigation of previous studies. In the examination talked about the principle issues with respect to the utilization of cloud and database the executives in the AIS through developing research model.,The focal point of the paper is the impact of cloud computing worldview on the business area. This paper highlights different facts of cloud accounting, published research papers and the benefits and possible risks determined by the implementation of cloud services, mostly in relation to the accounting department.,Considering the numerous ramifications of cloud advancements on the present business process, there is a need for an examination of how these innovations will be used in AIS to improve precision, benefits and risks. At the same time, there is need to investigate the determinant elements of actualizing cloud advances in the AIS. More importantly, to the author’s knowledge, this is the first study that focuses on the number of published research works to show the importance of cloud computing in accounting and information systems.
{"title":"Role of cloud computing in global accounting information systems","authors":"Syed Moudud-Ul-Huq, M. Asaduzzaman, T. Biswas","doi":"10.1108/bl-01-2020-0010","DOIUrl":"https://doi.org/10.1108/bl-01-2020-0010","url":null,"abstract":"The purpose of this study is to underpin the impact of cloud computing in global accounting information systems (AIS). Moreover, it investigates the key aspects that ought to be considered by the organization before choosing to pick the correct accounting system.,The study looks at and depends on narrative investigation of previous studies. In the examination talked about the principle issues with respect to the utilization of cloud and database the executives in the AIS through developing research model.,The focal point of the paper is the impact of cloud computing worldview on the business area. This paper highlights different facts of cloud accounting, published research papers and the benefits and possible risks determined by the implementation of cloud services, mostly in relation to the accounting department.,Considering the numerous ramifications of cloud advancements on the present business process, there is a need for an examination of how these innovations will be used in AIS to improve precision, benefits and risks. At the same time, there is need to investigate the determinant elements of actualizing cloud advances in the AIS. More importantly, to the author’s knowledge, this is the first study that focuses on the number of published research works to show the importance of cloud computing in accounting and information systems.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75809550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nima Soltani-Nejad, Seyedeh Zahra Mirezati, M. Saberi
The growing popularity of e-commerce, in recent years, has led to an increase in sharing information in cyberspace. Personality traits are one of the most effective personal factors in sharing information on business websites. This study aims to investigate the relationship between personality traits and intention to share information on commercial websites.,In this survey study, structural equation modeling was used. The statistical population of this study consisted of 385 Iranian students. Two questionnaires, i.e. personality traits and intention to share information, were used to collect the required data. The validity of the research instruments was estimated by calculating the average variance extracted. Furthermore, the reliability was assessed and confirmed by Cronbach’s alpha coefficient and composite reliability. Data analysis was performed with AMOS and partial least squares statistical software.,The results indicated that the components of personality traits including authoritarianism, self-esteem, locus of control and adaptation had a significant positive effect on intention to share information.,In this study, the authors designed a model to examine the effect of personality traits on intention to share information on commercial websites.
{"title":"Predicting intention to share information on commercial websites based on personality traits","authors":"Nima Soltani-Nejad, Seyedeh Zahra Mirezati, M. Saberi","doi":"10.1108/bl-02-2020-0018","DOIUrl":"https://doi.org/10.1108/bl-02-2020-0018","url":null,"abstract":"The growing popularity of e-commerce, in recent years, has led to an increase in sharing information in cyberspace. Personality traits are one of the most effective personal factors in sharing information on business websites. This study aims to investigate the relationship between personality traits and intention to share information on commercial websites.,In this survey study, structural equation modeling was used. The statistical population of this study consisted of 385 Iranian students. Two questionnaires, i.e. personality traits and intention to share information, were used to collect the required data. The validity of the research instruments was estimated by calculating the average variance extracted. Furthermore, the reliability was assessed and confirmed by Cronbach’s alpha coefficient and composite reliability. Data analysis was performed with AMOS and partial least squares statistical software.,The results indicated that the components of personality traits including authoritarianism, self-esteem, locus of control and adaptation had a significant positive effect on intention to share information.,In this study, the authors designed a model to examine the effect of personality traits on intention to share information on commercial websites.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83238621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mauricius Munhoz de Medeiros, A. C. Maçada, José Carlos da Silva Freitas Junior
In the age of analytical competition, business models and gaining competitive advantage (CA) are directly related to organizations’ data strategy. Incorporating data strategy enables the organization to unlock the potential value of big data analytics. Therefore, this study aims to analyze how data strategy affects the achievement of CA.,Through survey research, data were collected from 103 respondents. Model testing and evaluation, partial least squares structural equation modeling and analysis of mediating effects were performed.,The supported hypotheses confirm the direct effects between the defensive and offensive positioning of the data strategy on CA, as well as the mediating effect of the offensive data strategy (ODS).,This study is groundbreaking in terms of empirically analyzing how defensive data strategy (DDS) or ODS affects CA. In conclusion, to extract value from their data, organizations need to establish their data strategy based on their strategic positioning, the potential of their resources and their analytical capabilities.,The defensive and offensive positioning of the data strategy are closely related to each other and both, in isolation, directly and positively, impact CA. It is also noted that the role of defensive positioning is to strengthen the offensive positioning of the data strategy, which in turn, plays a central role in achieving CA.,The results can assist managers in effectively incorporating analytical resources and capabilities, as well as helping them understand the dynamics and advantages of data strategy, so they can drive strategic objectives according to the organization’s positioning.,This study is groundbreaking in terms of empirically analyzing how DDS or ODS affects CA. In conclusion, to extract value from their data, organizations need to establish their data strategy based on their strategic positioning, the potential of their resources and their analytical capabilities.
{"title":"The effect of data strategy on competitive advantage","authors":"Mauricius Munhoz de Medeiros, A. C. Maçada, José Carlos da Silva Freitas Junior","doi":"10.1108/bl-12-2019-0131","DOIUrl":"https://doi.org/10.1108/bl-12-2019-0131","url":null,"abstract":"In the age of analytical competition, business models and gaining competitive advantage (CA) are directly related to organizations’ data strategy. Incorporating data strategy enables the organization to unlock the potential value of big data analytics. Therefore, this study aims to analyze how data strategy affects the achievement of CA.,Through survey research, data were collected from 103 respondents. Model testing and evaluation, partial least squares structural equation modeling and analysis of mediating effects were performed.,The supported hypotheses confirm the direct effects between the defensive and offensive positioning of the data strategy on CA, as well as the mediating effect of the offensive data strategy (ODS).,This study is groundbreaking in terms of empirically analyzing how defensive data strategy (DDS) or ODS affects CA. In conclusion, to extract value from their data, organizations need to establish their data strategy based on their strategic positioning, the potential of their resources and their analytical capabilities.,The defensive and offensive positioning of the data strategy are closely related to each other and both, in isolation, directly and positively, impact CA. It is also noted that the role of defensive positioning is to strengthen the offensive positioning of the data strategy, which in turn, plays a central role in achieving CA.,The results can assist managers in effectively incorporating analytical resources and capabilities, as well as helping them understand the dynamics and advantages of data strategy, so they can drive strategic objectives according to the organization’s positioning.,This study is groundbreaking in terms of empirically analyzing how DDS or ODS affects CA. In conclusion, to extract value from their data, organizations need to establish their data strategy based on their strategic positioning, the potential of their resources and their analytical capabilities.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78968791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Azeem Abro, Rohaizat Baharun, Ahsan Zubair
This study aims to investigate the impact of consumer advocacy on community usefulness and brand avoidance. Moreover, the study scrutinizes the mediating role and impact of organizational feedback/response and moderating role of information credibility.,The explanatory and cross-sectional research design was used in the study. Primary data were collected from broadband internet users and 249 responses gathered across the country. The study sample comprises of individuals sharing unfavorable service experiences on social media.,The key findings of the study highlight that consumer advocacy is a type of complaining method, which is used to help other society members; hence, there is a strong relationship among consumer’s advocacy and society’s usefulness. Brand avoidance is the outcome of stronger reactions by consumer advocates and through efficient organizational feedback, the impact of advocacy can be mitigated. Moreover, the study found that effective organizational explanations can be a useful remedy to brand avoidance. Furthermore, the research revealed that information credibility does not moderate the relationship between consumer advocacy and brand avoidance.,The study findings will help practitioners in determining effective strategies to restrict and control brand avoidance.,The social side of consumer argumentative behavior is still an under-research area, which is addressed in the paper. This is the unique study, which explores the mediating impact of organizational feedback on consumer advocacy, brand avoidance and usefulness for society in the implicit perspective.
{"title":"Information credibility and organizational feedback; a solution to plethora of consumer advocacy, brand avoidance and community usefulness","authors":"Muhammad Azeem Abro, Rohaizat Baharun, Ahsan Zubair","doi":"10.1108/bl-12-2019-0133","DOIUrl":"https://doi.org/10.1108/bl-12-2019-0133","url":null,"abstract":"This study aims to investigate the impact of consumer advocacy on community usefulness and brand avoidance. Moreover, the study scrutinizes the mediating role and impact of organizational feedback/response and moderating role of information credibility.,The explanatory and cross-sectional research design was used in the study. Primary data were collected from broadband internet users and 249 responses gathered across the country. The study sample comprises of individuals sharing unfavorable service experiences on social media.,The key findings of the study highlight that consumer advocacy is a type of complaining method, which is used to help other society members; hence, there is a strong relationship among consumer’s advocacy and society’s usefulness. Brand avoidance is the outcome of stronger reactions by consumer advocates and through efficient organizational feedback, the impact of advocacy can be mitigated. Moreover, the study found that effective organizational explanations can be a useful remedy to brand avoidance. Furthermore, the research revealed that information credibility does not moderate the relationship between consumer advocacy and brand avoidance.,The study findings will help practitioners in determining effective strategies to restrict and control brand avoidance.,The social side of consumer argumentative behavior is still an under-research area, which is addressed in the paper. This is the unique study, which explores the mediating impact of organizational feedback on consumer advocacy, brand avoidance and usefulness for society in the implicit perspective.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87242534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Stone, Eleni Aravopoulou, Y. Ekinci, Geraint Evans, Matt Hobbs, A. Labib, Paul Laughlin, J. Machtynger, Liz Machtynger
The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions.,The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper.,There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions.,The application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors.,There are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous.,The public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector.,To the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.
{"title":"Artificial intelligence (AI) in strategic marketing decision-making: a research agenda","authors":"M. Stone, Eleni Aravopoulou, Y. Ekinci, Geraint Evans, Matt Hobbs, A. Labib, Paul Laughlin, J. Machtynger, Liz Machtynger","doi":"10.1108/bl-03-2020-0022","DOIUrl":"https://doi.org/10.1108/bl-03-2020-0022","url":null,"abstract":"The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions.,The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper.,There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI application to decision-making is moving in many management areas from operational to strategic. Given the competitive nature of such decisions and the insights from applying AI to defence and similar areas, it is time to focus on applying AI to strategic marketing decisions.,The application of AI to strategic marketing decision-making is known to be taking place, but as it is commercially sensitive, data is not available to the authors.,There are strong implications for all businesses, particularly large businesses in competitive industries, where failure to deploy AI in the face of competition from firms, who have deployed AI to improve their decision-making could be dangerous.,The public sector is a very important marketing decision maker. Although in most cases it does not operate competitively, it must make decisions about making different services available to different citizens and identify the risks of not providing services to certain citizens; so, this paper is relevant to the public sector.,To the best of the authors’ knowledge, this is one of the first papers to probe deployment of AI in strategic marketing decision-making.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83687770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mauricius Munhoz de Medeiros, Norberto Hoppen, A. C. Maçada
This paper aims to identify the benefits of data science (DS) for organizations, highlighting the challenges and opportunities related to developing this capability.,Initially, a literature review was performed. Later, empirical data were collected through a structured electronic interview answered by 211 informants, who are most experienced managers of medium and large organizations from different economic sectors, and data were submitted to content analysis.,The most frequently observed benefits are as follows: support for data analysis and insight generation with agility; creation of a data-driven culture; improvement of data quality; facilitating the understanding of the business environment, opportunity sensing; and organizational performance management. The most observed challenges are as follows: data-driven culture; DS training; allocation of investments in analytical technologies; and data governance and strategy.,In addition, to mapping the state of the art on the subject, it contributes to the expansion of scientific knowledge through the identification and disclosure of 11 benefit indicators and 16 challenge indicators associated with analytical capabilities.,To transform data into information and add value to the business, organizations need to make efforts to enable executive mindset change, the formulation of strategies and governance mechanisms gave the renewal of workforce competencies and the allocation of investments in information technology.,A vast body of empirical evidence is gathered that consolidates different views on the benefits and challenges associated with DS for business.
{"title":"Data science for business: benefits, challenges and opportunities","authors":"Mauricius Munhoz de Medeiros, Norberto Hoppen, A. C. Maçada","doi":"10.1108/bl-12-2019-0132","DOIUrl":"https://doi.org/10.1108/bl-12-2019-0132","url":null,"abstract":"This paper aims to identify the benefits of data science (DS) for organizations, highlighting the challenges and opportunities related to developing this capability.,Initially, a literature review was performed. Later, empirical data were collected through a structured electronic interview answered by 211 informants, who are most experienced managers of medium and large organizations from different economic sectors, and data were submitted to content analysis.,The most frequently observed benefits are as follows: support for data analysis and insight generation with agility; creation of a data-driven culture; improvement of data quality; facilitating the understanding of the business environment, opportunity sensing; and organizational performance management. The most observed challenges are as follows: data-driven culture; DS training; allocation of investments in analytical technologies; and data governance and strategy.,In addition, to mapping the state of the art on the subject, it contributes to the expansion of scientific knowledge through the identification and disclosure of 11 benefit indicators and 16 challenge indicators associated with analytical capabilities.,To transform data into information and add value to the business, organizations need to make efforts to enable executive mindset change, the formulation of strategies and governance mechanisms gave the renewal of workforce competencies and the allocation of investments in information technology.,A vast body of empirical evidence is gathered that consolidates different views on the benefits and challenges associated with DS for business.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85068321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Theresia Busagara, N. Mori, L. Mossberg, D. Jani, T. Andersson
The purpose of this paper is to establish the link between customer information sharing and new service development.,Through a survey of tourism firms, 295 questionnaires were collected in three large tourism locations in Tanzania. Thereafter, the hypotheses were tested by structural equation modeling (SEM) after undertaking both factor analysis and confirmatory factor analysis.,Results indicate that there is a positive association/link between customer information sharing and new service development. The link here expresses the association that exists as customers share information and the extent of use of this information for the firm benefit in facilitating new service development. Specifically, customers post service information and customer interaction behaviors positively support new service development; however, customers’ pre-service information revealed no link.,These results offer practical evidence that post service information and interaction behaviors form the groundwork for development of new services in service-related organizations.,These results evidence that customer post service information and customer interaction behaviors form the groundwork for development new services in tourism. Hence, the study strengthens the value co-creation and innovation views in the service arena by extending knowledge in the use of both the service and the customer environment for service improvement.
{"title":"Customer information sharing and new service development: is there a link?","authors":"Theresia Busagara, N. Mori, L. Mossberg, D. Jani, T. Andersson","doi":"10.1108/bl-09-2019-0112","DOIUrl":"https://doi.org/10.1108/bl-09-2019-0112","url":null,"abstract":"The purpose of this paper is to establish the link between customer information sharing and new service development.,Through a survey of tourism firms, 295 questionnaires were collected in three large tourism locations in Tanzania. Thereafter, the hypotheses were tested by structural equation modeling (SEM) after undertaking both factor analysis and confirmatory factor analysis.,Results indicate that there is a positive association/link between customer information sharing and new service development. The link here expresses the association that exists as customers share information and the extent of use of this information for the firm benefit in facilitating new service development. Specifically, customers post service information and customer interaction behaviors positively support new service development; however, customers’ pre-service information revealed no link.,These results offer practical evidence that post service information and interaction behaviors form the groundwork for development of new services in service-related organizations.,These results evidence that customer post service information and customer interaction behaviors form the groundwork for development new services in tourism. Hence, the study strengthens the value co-creation and innovation views in the service arena by extending knowledge in the use of both the service and the customer environment for service improvement.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81353918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to study the effect of knowledge management in formulating competitive strategies for knowledge-based small- and medium-sized enterprises (SMEs) in Malaysia.,A quantitative approach of a survey was carried out on 135 owners and managers of knowledge-based SMEs in Malaysia. Structural equation modeling technique was used to investigate the relationship between knowledge management and competitive strategies. SmartPLS software is used to analyze the quantitative data. Only SMEs which are involved in R&D and innovation were selected to get the right respondents who meet the objective of the study.,The findings show mixed results. Most dimensions of knowledge management have significant relationships to differentiation strategy except for knowledge creation and knowledge acquisition, with only knowledge acquisition showing a significant relationship to cost leadership. Findings reveal that knowledge management has a positive effect on competitive strategies with more inclination toward differentiation strategy, compared to cost leadership strategy which does synchronize with their commitment in research and development and innovation.,This study is only focused on knowledge-based SMEs in central Malaysia. Second, the use of a survey approach minimized the flow of information.,SMEs do have knowledge management practices but may not be exploiting it well. Mapping knowledge management practices would help SMEs identify their strengths and weaknesses to explore better business opportunities. This proves that SMEs are leveraging their resources through knowledge application, dissemination, storage and protection to be different than their competitors. However, their apparent lack of knowledge in knowledge acquisition and knowledge creation should be addressed accordingly, as it is important for their future continuous sustainability.,This paper contributes to the literature of knowledge management relating to competitive strategies in SMEs. The study offers insights on how competitive strategies were formulated through knowledge management. The mixed results reveal a new different outlook of knowledge management relating to competitive strategies.
{"title":"Linking knowledge management to competitive strategies of knowledge-based SMEs","authors":"R. Ngah, K. Wong","doi":"10.1108/bl-08-2019-0105","DOIUrl":"https://doi.org/10.1108/bl-08-2019-0105","url":null,"abstract":"This paper aims to study the effect of knowledge management in formulating competitive strategies for knowledge-based small- and medium-sized enterprises (SMEs) in Malaysia.,A quantitative approach of a survey was carried out on 135 owners and managers of knowledge-based SMEs in Malaysia. Structural equation modeling technique was used to investigate the relationship between knowledge management and competitive strategies. SmartPLS software is used to analyze the quantitative data. Only SMEs which are involved in R&D and innovation were selected to get the right respondents who meet the objective of the study.,The findings show mixed results. Most dimensions of knowledge management have significant relationships to differentiation strategy except for knowledge creation and knowledge acquisition, with only knowledge acquisition showing a significant relationship to cost leadership. Findings reveal that knowledge management has a positive effect on competitive strategies with more inclination toward differentiation strategy, compared to cost leadership strategy which does synchronize with their commitment in research and development and innovation.,This study is only focused on knowledge-based SMEs in central Malaysia. Second, the use of a survey approach minimized the flow of information.,SMEs do have knowledge management practices but may not be exploiting it well. Mapping knowledge management practices would help SMEs identify their strengths and weaknesses to explore better business opportunities. This proves that SMEs are leveraging their resources through knowledge application, dissemination, storage and protection to be different than their competitors. However, their apparent lack of knowledge in knowledge acquisition and knowledge creation should be addressed accordingly, as it is important for their future continuous sustainability.,This paper contributes to the literature of knowledge management relating to competitive strategies in SMEs. The study offers insights on how competitive strategies were formulated through knowledge management. The mixed results reveal a new different outlook of knowledge management relating to competitive strategies.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87370666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this paper is to find out how much the purchasing and lending of individual electronic books really cost. Additionally, this paper investigates which kind of approach would be cheaper and less time-consuming for library staff as well as library patrons – purchase or short-term loan.,This study was conducted at the Tallinn University of Technology (TalTech) Library. This is the only university library in Estonia where the Ebook Central platform is adapted on a large scale. For background information, all statistical data of expenditures and average prices of purchases and short-term loans during April 2013 and December 2018 were calculated and analysed. Through a case study, the time-driven activity-based costing (TDABC) method was used – all activities related to acquisition and lending of eBooks were identified, recorded in detail and analysed. More specifically, the study concerned eBooks offered in the Ebook Central platform and covered purchasing and short-term loan processes, such as receipt of order request, communication with the patron (if necessary) making a purchase or short-term loan, and feedback to the patron.,While analysing the results, it appeared there are many additional activities libraries can avoid during the eBook short-term loan process compared to purchasing. As a normality in TalTech library, purchase is always followed by a cataloguing process which increases the time and cost of this process in turn. On the basis of the current study, it can be said that short-term loan is a cheaper way to use eBooks; many activities related to the short-term loan of eBooks take remarkably less staff time and financial resources than eBooks acquisition/purchasing activities. When analysing the literature reviewed as well as collected statistical data, the problem may arise when the decision-maker librarian is not experienced, professional or long-sighted enough to understand the future behaviour of the patron or the usage of the specific eBook. When the usage reaches a certain point, it becomes an indicator of continuing future usage and so it makes sense to purchase the eBook, as the library pays no further charges once an eBook is owned.,Most studies reviewed by the author are based on the statistical data collected about expenditure, costs, usage, cost-per-use, etc. of short-term loans and purchases. While acquisitions costs, average cost per acquired item per year and cost per usage are easy to identify, it has been difficult to measure associated costs of acquisition, cataloging and circulation. The TDABC methodology seems to be one of the best tools for understanding cost behaviour and refining a cost system for university libraries. Based on the information known to the author, there is no study carried out using the TDABC methodology for analysing costs of eBook programmes.
{"title":"To buy or to borrow? Evaluating the cost of an eBook in TalTech library","authors":"K. Kont","doi":"10.1108/bl-07-2019-0100","DOIUrl":"https://doi.org/10.1108/bl-07-2019-0100","url":null,"abstract":"The purpose of this paper is to find out how much the purchasing and lending of individual electronic books really cost. Additionally, this paper investigates which kind of approach would be cheaper and less time-consuming for library staff as well as library patrons – purchase or short-term loan.,This study was conducted at the Tallinn University of Technology (TalTech) Library. This is the only university library in Estonia where the Ebook Central platform is adapted on a large scale. For background information, all statistical data of expenditures and average prices of purchases and short-term loans during April 2013 and December 2018 were calculated and analysed. Through a case study, the time-driven activity-based costing (TDABC) method was used – all activities related to acquisition and lending of eBooks were identified, recorded in detail and analysed. More specifically, the study concerned eBooks offered in the Ebook Central platform and covered purchasing and short-term loan processes, such as receipt of order request, communication with the patron (if necessary) making a purchase or short-term loan, and feedback to the patron.,While analysing the results, it appeared there are many additional activities libraries can avoid during the eBook short-term loan process compared to purchasing. As a normality in TalTech library, purchase is always followed by a cataloguing process which increases the time and cost of this process in turn. On the basis of the current study, it can be said that short-term loan is a cheaper way to use eBooks; many activities related to the short-term loan of eBooks take remarkably less staff time and financial resources than eBooks acquisition/purchasing activities. When analysing the literature reviewed as well as collected statistical data, the problem may arise when the decision-maker librarian is not experienced, professional or long-sighted enough to understand the future behaviour of the patron or the usage of the specific eBook. When the usage reaches a certain point, it becomes an indicator of continuing future usage and so it makes sense to purchase the eBook, as the library pays no further charges once an eBook is owned.,Most studies reviewed by the author are based on the statistical data collected about expenditure, costs, usage, cost-per-use, etc. of short-term loans and purchases. While acquisitions costs, average cost per acquired item per year and cost per usage are easy to identify, it has been difficult to measure associated costs of acquisition, cataloging and circulation. The TDABC methodology seems to be one of the best tools for understanding cost behaviour and refining a cost system for university libraries. Based on the information known to the author, there is no study carried out using the TDABC methodology for analysing costs of eBook programmes.","PeriodicalId":44548,"journal":{"name":"Bottom Line","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2020-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84837954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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