scholarly journals Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food sector

2017 ◽  
Vol 21 (1) ◽  
pp. 156-179 ◽  
Author(s):  
Christina O’Connor ◽  
Stephen Kelly
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Relevant Information ◽  
Future Research ◽  
Food Sector ◽  
Relationship Dynamics ◽  
Data Set ◽  
Content Type ◽  
The Impact ◽  
Data Consumer

Purpose This paper aims to critique a facilitated knowledge management (KM) process that utilises filtered big data and, specifically, the process effectiveness in overcoming barriers to small and medium-sized enterprises’ (SMEs’) use of big data, the processes enablement of SME engagement with and use of big data and the process effect on SME competitiveness within an agri-food sector. Design/methodology/approach From 300 participant firms, SME owner-managers representing seven longitudinal case studies were contacted by the facilitator at least once-monthly over six months. Findings Results indicate that explicit and tacit knowledge can be enhanced when SMEs have access to a facilitated programme that analyses, packages and explains big data consumer analytics captured by a large pillar firm in a food network. Additionally, big data and knowledge are mutually exclusive unless effective KM processes are implemented. Several barriers to knowledge acquisition and application stem from SME resource limitations, strategic orientation and asymmetrical power relationships within a network. Research limitations/implications By using Dunnhumby data, this study captured the impact of only one form of big data, consumer analytics. However, this is a significant data set for SME agri-food businesses. Additionally, although the SMEs were based in only one UK region, Northern Ireland, there is wide scope for future research across multiple UK regions with the same Dunnhumby data set. Originality/value The study demonstrates the potential relevance of big data to SMEs’ activities and developments, explicitly identifying that realising this potential requires the data to be filtered and presented as market-relevant information that engages SMEs, recognises relationship dynamics and supports learning through feedback and two-way dialogue. This is the first study that empirically analyses filtered big data and SME competitiveness. The examination of relationship dynamics also overcomes existing literature limitations where SMEs’ constraints are seen as the prime factor restricting knowledge transfer.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

Assessing the impact of knowledge management on total factor productivity

2019 ◽  
Vol 11 (1) ◽  
pp. 134-146 ◽  
Author(s):  
Mina Sami ◽  
Randa El Bedawy
Keyword(s):  
Knowledge Management ◽  
Total Factor Productivity ◽  
Current Literature ◽  
Organizational Level ◽  
Factor Productivity ◽  
Data Set ◽  
Content Type ◽  
Financial Indicator ◽  
Percent Increase ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of knowledge management (KM) on the total factor productivity (TFP) at the organizational level in Egypt. Design/methodology/approach Using the novel available EC 2013 data set, which includes approximately 60,000 private organizations in Egypt, the paper explores the relationship between KM and TFP. For the purpose of dealing with endogeneity, the two-stage least squares econometric model has been implemented. Findings The study reveals that KM impacts positively the TFP of the Egyptian organizations. Conspicuously, each 10 percent increase in KM is associated with 9.3 percent increase in TFP. Originality/value The role of KM in the organizations has been under-researched globally, especially in Africa. This study contributes to the current literature by assessing the impact of KM on TFP, which represents the most comprehensive measure of the firm productivity; by implementing a novel instrumental variable in order to deal with endogeneity between KM and TFP; and by generating a more nuanced measure for the knowledge intensity that is not based on any financial indicator as in the most of the previous studies. Original findings can be highlighted from the paper as it demonstrates that the impact of KM is more important than proposed by the current literature. Conspicuously, the KM does not merely impact the customer satisfaction, the quality improvement and the profit margin, but it also impacts the TFP of the organizations.

Influence of national culture on knowledge management process: literature review and research agenda

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anil Kumar Goswami ◽  
Rakesh Kumar Agrawal ◽  
Meghna Goswami
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
National Culture ◽  
Research Agenda ◽  
Future Research ◽  
Content Type ◽  
Organizational Interventions ◽  
Effective Manner ◽  
Working Together ◽  
The Impact

PurposeThe purpose of this study is to explore, understand and investigate the relationship between national culture and knowledge management (KM) process.Design/methodology/approachThis study is based on systematically and objectively capturing the contents of extant research papers published by researchers in this area by using the literature review methodology.FindingsThe study demonstrates significant relationship between national culture and KM process. Further, it also provides directions for future research.Practical implicationsThe study will help top management to understand and appreciate the impact of national culture on KM process in organization, where people from different nations are working together. The management may apply appropriate organizational interventions to manage people of different national cultures in effective manner and effective utilization of knowledge of the organization through KM process. This paper will be considered as a quick reference and resource for anyone interested in this area.Originality/valueThis study is a comprehensive literature review of influence of national culture on KM process. Further, it also sets the research agenda for future researchers.

scholarly journals The relationship between knowledge management and leadership: mapping the field and providing future research avenues

2020 ◽  
Vol 24 (6) ◽  
pp. 1445-1492 ◽  
Author(s):  
Massimiliano Matteo Pellegrini ◽  
Francesco Ciampi ◽  
Giacomo Marzi ◽  
Beatrice Orlando
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Bibliometric Analysis ◽  
Systematic Literature Review ◽  
Selection Process ◽  
Central Element ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Management Leadership

Purpose Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study aims to offer an overview of the evolution of the literature regarding the knowledge management-leadership relationship published over the past 20 years. Design/methodology/approach A bibliometric analysis coupled with a systematic literature review were performed over a data set of 488 peer-reviewed articles published from 1990 to 2018. Findings The authors discovered the existence of four well-polarized clusters with the following thematic focusses: human and relational aspects, systematic and performance aspects, contextual and contingent aspects and cultural and learning aspects. The authors then investigated each thematic cluster by reviewing the most relevant contributions within them. Research limitations/implications Based on the bibliometric analysis and the systematic literature review, the authors developed an interpretative framework aimed at uncovering several promising and little explored research areas, thus suggesting an agenda for future knowledge management-leadership research. Some steps of the paper selection process may have been biased by the interpretation of the researcher. The authors addressed this concern by performing a multiple human subject reading process whose reliability was confirmed by a Krippendorf’s alpha coefficient value >0.80. Originality/value To the best knowledge, this is the first study to map, systematize and discuss the literature concerned to the topic of the knowledge management-leadership relationship.

Dispersion beyond miles: configuration and performance in virtual teams

2017 ◽  
Vol 23 (3) ◽  
pp. 186-204 ◽  
Author(s):  
Ambika Prasad ◽  
Darleen DeRosa ◽  
Michael Beyerlein
Keyword(s):  
Virtual Teams ◽  
Team Performance ◽  
Electronic Communication ◽  
Negative Impact ◽  
Spatial Distance ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
And Performance ◽  
The Impact

Purpose The purpose of this paper is to understand different aspects of structural dispersion in virtual teams (VTs). The study measures five types of dispersion, their impact on VT performance and the moderating effect of electronic communication. Design/methodology/approach The authors collected data from 44 globally distributed VTs representing 403 members. The authors used details of the members’ locations to measure five elements of dispersion for each team: spatial, time-zone, number of locations, extent of numerical balance across locations and extent of isolated members for a team. The authors used two items to assess effective electronic communication and measured team performance on four items from three sources – members, leaders and third-party stakeholders. Findings Using regression, the authors found that the number of sites, degree of team balance and isolation had a negative impact on team performance. Spatial and temporal dispersion did not impact performance. Effective electronic communication moderated the relationship of team performance with team balance and the number of sites. Research limitations/implications Study presents novel findings on the role of team configuration in VTs. Limitations: the study provides pointers to the likelihood of a non-linear relationship between spatial distance and performance; however, the scope of the paper does not permit an examination of this model. Future research can study this relationship. Second, the study does not examine how team configuration impacts the team processes that discount performance. Finally, the study treats each index of dispersion as independent of the others. The analysis does not study the interplay between and among the indices. Practical implications The findings provide clear indicators for managers and researchers of VTs on the issues associated with the location and configuration of the teams. Managers, while designing and managing dispersed members are now informed of the impact of the number of sites and the sub-group dynamics. The study underscores the importance of effective electronic communication in managing dispersion. Social implications The study presents how faultiness based on location of VT sub-groups (as represented in the configuration of a team) can hamper performance. Literature suggests that this faultiness can also extend to social identities (based on gender, culture, etc.). The indicators provided by this study in this respect provide a topical focus for research because diverse dispersed teams are becoming more prevalent. Originality/value The study is the first empirical exploration of dispersion in VTs beyond the traditionally acknowledged dimensions of spatial distance and time-zones. It is a timely response to the recent trends in literature. Additionally, the study derives data from a unique data set of global VTs, thus making findings easily generalizable.

scholarly journals The impact of knowledge management processes on organisational performance

2015 ◽  
Vol 28 (2) ◽  
pp. 167-185 ◽  
Author(s):  
Mohammed Tubigi ◽  
Sarmad Alshawi
Keyword(s):  
Knowledge Management ◽  
Pilot Study ◽  
Conceptual Model ◽  
Airline Industry ◽  
Primary Data ◽  
Future Research ◽  
Organisational Performance ◽  
Content Type ◽  
Preliminary Study ◽  
The Impact

Purpose – The purpose of this paper is to evaluate knowledge management (KM) processes and to investigate their impact on organisational performance (OP) within the context of the airline industry (AI). Design/methodology/approach – An inductive and deductive qualitative approach was used based on a preliminary study. A pilot study was conducted which involved the use of interviews as a primary data collection method. Content analysis was used to extract and analyse themes from the data. Findings – The study showed that knowledge usage is the most influential aspect of KM in terms of the impact on OP. Moreover, the study revealed that knowledge transfer is a common KM process employed by organisations. Research limitations/implications – This study outlined the findings of a pilot study which aimed to test a proposed conceptual model and to provide an initial understanding of the interrelationships between KM processes and OP. To this end, a number of interviews were conducted in order to consolidate a conceptual model. As such, the nature of this preliminary study imposed some time and context limitations. These limitations will be dealt within later stages of the research journey. Originality/value – The value of the study is generated from the extensive review of the literature it provided which enhanced proposing a conceptual model that was initially tested with the aim of defining an appropriate KM processes within a unique and yet untested context as well as describing the impact of these processes on OP. Determination of KM processes is expected to set a guideline for future research in the AI.

scholarly journals The impact of open-border organization culture and employees’ knowledge, attitudes, and rewards with regards to open innovation: an empirical study

2020 ◽  
Vol 24 (9) ◽  
pp. 2273-2297 ◽  
Author(s):  
Deemah Alassaf ◽  
Marina Dabić ◽  
Dara Shifrer ◽  
Tugrul Daim
Keyword(s):  
Organizational Culture ◽  
Knowledge Management ◽  
Open Innovation ◽  
Management Practices ◽  
Mediating Effect ◽  
Data Set ◽  
Content Type ◽  
Industrial Sectors ◽  
Multi Level ◽  
The Impact

Purpose The purpose of this paper is to fill a significant research gap in academic literature pertaining to open innovation (OI). To do so, this paper empirically tests the impact of organizational culture, employees’ knowledge, attitudes and rewards as antecedents and mediators of OI adoption in organizations, facilitating a more thorough understanding by using an empirical multi-level approach. Design/methodology/approach This paper analyzes the results of the “Identification of Industrial Needs for Open Innovation Education in Europe” survey through a quantitative analysis using logistic regression models. This survey includes 528 employees working in 28 different industrial sectors in 37 countries, most of which are in Europe. Findings The results suggest a positive impact of organizational characteristics on the adoption of OI (i.e. including the adoption of outside-in and inside-out OI activities in participating organizations), showing that the openness of an organization’s culture increases its likelihood of adopting an OI paradigm. More importantly, the results highlight the positive mediating effect of employees’ knowledge and rewards on this relationship. Research limitations/implications The data set that was the basis of this paper was generated in European countries, the results of the analysis are limited and appropriate for this region and may vary when applied to other regions of the world. Practical implications The proposed multi-level approach offers new insight into organizational knowledge. It enables the improvement of OI and knowledge management practices in organizations by assisting practitioners and academics in recognizing the relationship between organizational culture; employees’ knowledge, attitudes and rewards; and the adoption of the OI paradigm. Social implications This paper offers a possible explanation on why open-border cultures are more likely to have a successful OI adoption, by relating it to factors that advance in the presence of an open-border culture, such as active participation of OI relative departments in knowledge sourcing and knowledge exchange, and rewarding employees for OI activities. Originality/value This paper presents a new framework which links organizational culture to OI, moving on from merely examining culture in terms of its positive or negative impact on OI adoption. It contributes to research on the OI paradigm and knowledge management by highlighting the significance of antecedents and mediators from a multi-level perspective using multiple units of analysis. Most previous studies focus on a single unit of analysis.

scholarly journals Accounting, accountability, social media and big data: revolution or hype?

2017 ◽  
Vol 30 (4) ◽  
pp. 762-776 ◽  
Author(s):  
Michela Arnaboldi ◽  
Cristiano Busco ◽  
Suresh Cuganesan
Keyword(s):  
Social Media ◽  
Big Data ◽  
Future Research ◽  
Data Governance ◽  
Content Type ◽  
Knowledge Based ◽  
Decision Making Processes ◽  
Key Aspects ◽  
The Impact

Purpose The purpose of this paper is to outline an agenda for researching the relationship between technology-enabled networks – such as social media and big data – and the accounting function. In doing so, it links the contents of an unfolding area research with the papers published in this special issue of Accounting, Auditing and Accountability Journal. Design/methodology/approach The paper surveys the existing literature, which is still in its infancy, and proposes ways in which to frame early and future research. The intention is not to offer a comprehensive review, but to stimulate and conversation. Findings The authors review several existing studies exploring technology-enabled networks and highlight some of the key aspects featuring social media and big data, before offering a classification of existing research efforts, as well as opportunities for future research. Three areas of investigation are identified: new performance indicators based on social media and big data; governance of social media and big data information resources; and, finally, social media and big data’s alteration of information and decision-making processes. Originality/value The authors are currently experiencing a technological revolution that will fundamentally change the way in which organisations, as well as individuals, operate. It is claimed that many knowledge-based jobs are being automated, as well as others transformed with, for example, data scientists ready to replace even the most qualified accountants. But, of course, similar claims have been made before and therefore, as academics, the authors are called upon to explore the impact of these technology-enabled networks further. This paper contributes by starting a debate and speculating on the possible research agendas ahead.

Assessment of household food waste in Hungary

2018 ◽  
Vol 120 (3) ◽  
pp. 625-638 ◽  
Author(s):  
Barbara Szabó-Bódi ◽  
Gyula Kasza ◽  
Dávid Szakos
Keyword(s):  
Food Waste ◽  
Liquid Waste ◽  
Relevant Information ◽  
Data Consistency ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Waste Production ◽  
Total Food ◽  
The Impact

Purpose The purpose of this paper is to determine and quantify the most dominant types of food waste in Hungarian households and to analyse the effect of demographic background and income as influencing factors. Design/methodology/approach Data related to solid and liquid food waste were recorded from 100 households for one week. The study primarily focussed on avoidable food waste, however, unavoidable and potentially avoidable food waste were also measured. Appropriate tools and manual were provided to the households to ensure data consistency. Findings Estimated quantity of total food waste (including liquid waste) per capita is 68.04 kg/year. In all, 48.70 per cent of total food waste would have been avoidable (equals to 33.14 kg/capita/year). Most frequently wasted food categories were meals and bakery products. In case of some demographic categories, different wastage levels were observed. It was also confirmed that income has effect on food waste production that varies by foodstuff categories: bakery product waste was mainly dominant for middle income consumers and fresh fruits were typically wasted by more affluent households. Apart from that, higher income resulted in higher food waste production in general. Practical implications This primary data set about avoidable food waste in Hungary contributes with relevant information to the refining of international estimates. Having specific data on food wastage and the most affected target groups, as well as information on the impact of the income can be applied in planning awareness raising campaigns. Originality/value The research is based on measurement of food waste categories in households resulting in detailed data sets. This study is one of the first investigations based on primary data collection from the eastern part of Central Europe and the very first related to Hungary. The study draws attention also to the influence that household income exerts on the issue of food waste.

scholarly journals The impact of knowledge management on job satisfaction

2016 ◽  
Vol 20 (4) ◽  
pp. 621-636 ◽  
Author(s):  
Aino Kianto ◽  
Mika Vanhala ◽  
Pia Heilmann
Keyword(s):  
Job Satisfaction ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Knowledge Worker ◽  
Well Being ◽  
Working Environment ◽  
Strong Impact ◽  
Data Set ◽  
Content Type ◽  
The Impact

Purpose This paper aims to propose that knowledge management (KM) could be a way to nurture job satisfaction and examine how KM can increase individual employees’ job satisfaction. Design/methodology/approach A theoretical model concerning the connections between five facets of KM (knowledge acquisition, knowledge sharing, knowledge creation, knowledge codification and knowledge retention) and job satisfaction is proposed. It is then empirically tested with a structural equation modelling partial least squares analysis of a survey data set of 824 observations, collected from the members of a Finnish municipal organisation. Findings Existence of KM processes in one’s working environment is significantly linked with high job satisfaction. Especially intra-organisational knowledge sharing seems to be a key KM process, promoting satisfaction with one’s job in most employee groups. Interestingly, significant knowledge-based promoters of job satisfaction differ as a function of job characteristics. Practical implications KM has a strong impact on employee job satisfaction, and therefore, managers are advised to implement KM activities in their organisations, not only for the sake of improving knowledge worker performance but also for improving their well-being at work. Originality/value This paper produces knowledge on a type of consequence of KM that has been largely unexplored in previous research, individual job satisfaction. Also, it promotes moving the KM literature to the next stage where the impact of KM practices is not explored as a “one size fits all” type of a phenomenon, but rather as a contingent and contextual issue.

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