scholarly journals Conversational agents in online organization–stakeholder interactions: a state-of-the-art analysis and implications for further research

2020 ◽  
Vol 24 (4) ◽  
pp. 339-362
Author(s):  
Salla Syvänen ◽  
Chiara Valentini
Keyword(s):  
Corporate Communication ◽  
Organizational Capabilities ◽  
Conversational Agents ◽  
Content Type ◽  
Engagement Strategies ◽  
Technical Developments ◽  
Literature Reviews ◽  
Stakeholder Interactions ◽  
English Articles ◽  
Organizational Stakeholder

PurposeThe purpose of this study is to review the extant literature on chatbots and stakeholder interactions to identify major trends and shed light on knowledge gaps.Design/methodology/approachA systematic literature review was conducted combining qualitative and quantitative approaches. A code book based on early systematic literature reviews was developed and used to extract information from 62 discrete peer-reviewed English articles. An inductive approach was used to analyse definitions of chatbots, topics, metrics, perspectives and implications.FindingsChatbots have been studied by many different disciplines, but not much from organizational, stakeholder and corporate communication perspectives. Existing studies focus on the technical developments of chatbots and chatbot language and conversations skills. Research has remained anchored at the micro-level understanding of the phenomenon, that is, the nature of chatbots, but has not yet taken into consideration the meso (organizational) or macro (societal) levels.Research limitations/implicationsThis study focused only on academic peer-reviewed papers in English and excluded conference proceeding, books, book chapters and editorials that may have offered other important and relevant reflections. The limited number of studies in communication-related disciplines shows that corporate communication scholars could contribute more to the discussion of chatbot–stakeholder interactions.Originality/valueThis is the first research in the field of corporate communication that examines organizational chatbot–stakeholder interactions. Results of this review offer important information on chatbots' organizational capabilities and affordances, which, arguably, must be taken into consideration when stakeholder engagement strategies are set.

Review of empirical research on leadership and organizational learning

2020 ◽  
Vol 24 (5) ◽  
pp. 1201-1220 ◽  
Author(s):  
Thanh Tung Do ◽  
Ngoc Khuong Mai
Keyword(s):  
Organizational Learning ◽  
Empirical Studies ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Research Areas ◽  
Literature Reviews ◽  
English Articles ◽  
The Relationship ◽  
Leadership Approaches

Purpose This paper aims to investigate how the relationships between different leadership approaches and organizational learning have been examined in the literature, from which future research areas can be recommended. Design/methodology/approach This systematic literature review applies matrix method to examine major literature in leadership and organizational learning. A total of 57 peer-reviewed English publications from 45 journals were selected and analyzed. Findings The synthesis of these empirical studies revealed as follows: the relationship between leadership and organizational learning has been mostly quantitatively investigated in many countries and sectors; multiple leadership styles have been identified to ameliorate processes, levels and capabilities of organizational learning and transformational leadership still remains the most commonly used style; there are mediating mechanism and boundary conditions in the relationship between leadership and organizational learning. Research limitations/implications The literature search in this study was mainly focused on English articles only; therefore, some papers in other languages may have not been included. Practical implications This review offers an overall picture of the existing knowledge of organizational learning and leadership that will be fruitful for practitioners to understand and replicate these concepts. Originality/value There are little systematic literature reviews on the relationship between leadership and organizational learning. This paper is among the first systematic reviews to analyze how leadership has been associated with organizational learning and provide potential research directions.

scholarly journals ERP benefits capability framework: orchestration theory perspective

2018 ◽  
Vol 24 (1) ◽  
pp. 266-294 ◽  
Author(s):  
Amgad Badewi ◽  
Essam Shehab ◽  
Jing Zeng ◽  
Mostafa Mohamad
Keyword(s):  
Cost Effective ◽  
Organizational Capabilities ◽  
Erp Implementation ◽  
Content Type ◽  
Quantitative Studies ◽  
Financial Perspective ◽  
Complementary Resources ◽  
Benefits Realization ◽  
Research Questions ◽  
The Right

Purpose The purpose of this paper is to answer two research questions: what are the ERP resources and organizational complementary resources (OCRs) required to achieve each group of benefits? And on the basis of its resources, when should an organization invest more in ERP resources and/or OCRs so that the potential value of its ERP is realised? Design/methodology/approach Studying 12 organizations in different countries and validating the results with 8 consultants. Findings ERP benefits realization capability framework is developed; it shows that each group of benefits requires ERP resources (classified into features, attached technologies and information technology department competences) and OCRs (classified into practices, attitudes, culture, skills and organizational characteristics) and that leaping ahead to gain innovation benefits before being mature enough in realising a firm’s planning and automation capabilities could be a waste of time and effort. Research limitations/implications It is qualitative study. It needs to be backed by quantitative studies to test the results. Practical implications Although the “P” in ERP stands for planning, many academics and practitioners still believe that ERP applies to automation only. This research spotlights that the ability to invest in ERP can increase the innovation and planning capabilities of the organization only if it is extended and grown at the right time and if it is supported by OCRs. It is not cost effective to push an organization to achieve all the benefits at the same time; rather, it is clear that an organization would not be able to enjoy a higher level of benefits until it achieves a significant number of lower-level benefits. Thus, investing in higher-level benefit assets directly after an ERP implementation, when there are no organizational capabilities available to use these assets, could be inefficient. Moreover, it could be stressful to users when they see plenty of new ERP resources without the ability to use them. Although it could be of slight benefit to introduce, for example, business intelligence to employees in the “stabilizing period” (Badewi et al., 2013), from the financial perspective, it is a waste of money since the benefits would not be realised as expected. Therefore, orchestrating ERP assets with the development of organizational capabilities is important for achieving the greatest effectiveness and efficiency of the resources available to the organization. This research can be used as a benchmark for designing the various blueprints required to achieve different groups of benefits from ERP investments. Originality/value This research addresses two novel questions: RQ1: what are the ERP resources and OCRs required to achieve the different kinds of ERP benefits? RQ2: when, and on what basis, should an organization deploy more resources to leverage the ERP business value?

Management and sustainability dilemmas in Latin America: introduction

2021 ◽  
Vol 34 (1) ◽  
pp. 1-17
Author(s):  
Olivia Hernandez-Pozas ◽  
Maria Jose Murcia ◽  
Enrique Ogliastri ◽  
Miguel R. Olivas-Lujan
Keyword(s):  
Latin America ◽  
Latin American ◽  
Design Methodology ◽  
Future Research ◽  
Content Type ◽  
Literature Reviews ◽  
Editorial Work ◽  
Different Dimensions ◽  
Sustainability Challenges ◽  
Specific Contribution

PurposeThis article introduces readers to the Special Issue (SI, 34-1) of ARLA, edited (not exclusively) with the best papers of the Academy of Management's Specialized Conference, scheduled for April 2020 in Mexico City. The COVID-19 pandemic forced its cancellation, but the expert peer review and editorial work continued, to contribute to the emerging literature on Latin American Management and Sustainability.Design/methodology/approachGuest editors contributed their expertise based on required editorial processes and focused literature reviews on Management and Sustainability.FindingsThere are large management and sustainability challenges to Latin American practitioners and researchers, resulting in an increasingly urgent need to systematically document similarities and differences in the fields of Management and Sustainability. It is so because the region has been affected as few others before, during and after the pandemic. Thus, this issue summarizes the literature, presents eight new studies and offers suggestions for future research.Research limitations/implicationsManagement and sustainability in Latin America are wide subjects, with different dimensions and issues. This is a specific contribution that leaves much ground to be covered in the different subfields of the area, in research methodologies and conclusions.Originality/valueAn agenda for advancing the field of management and sustainability in Latin America, highlighted by the COVID-19 disruption; additionally, eight of the most advanced research in the field are presented, chosen from two tracks of a large number of contributions to a recent specialized conference organized by the Academy of Management.

A systematic review of machine learning-based missing value imputation techniques

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tressy Thomas ◽  
Enayat Rajabi
Keyword(s):  
Machine Learning ◽  
Selection Process ◽  
Evaluation Metrics ◽  
Correct Prediction ◽  
Data Sets ◽  
Data Set ◽  
Missing Value ◽  
Content Type ◽  
Missing Value Imputation ◽  
Literature Reviews

PurposeThe primary aim of this study is to review the studies from different dimensions including type of methods, experimentation setup and evaluation metrics used in the novel approaches proposed for data imputation, particularly in the machine learning (ML) area. This ultimately provides an understanding about how well the proposed framework is evaluated and what type and ratio of missingness are addressed in the proposals. The review questions in this study are (1) what are the ML-based imputation methods studied and proposed during 2010–2020? (2) How the experimentation setup, characteristics of data sets and missingness are employed in these studies? (3) What metrics were used for the evaluation of imputation method?Design/methodology/approachThe review process went through the standard identification, screening and selection process. The initial search on electronic databases for missing value imputation (MVI) based on ML algorithms returned a large number of papers totaling at 2,883. Most of the papers at this stage were not exactly an MVI technique relevant to this study. The literature reviews are first scanned in the title for relevancy, and 306 literature reviews were identified as appropriate. Upon reviewing the abstract text, 151 literature reviews that are not eligible for this study are dropped. This resulted in 155 research papers suitable for full-text review. From this, 117 papers are used in assessment of the review questions.FindingsThis study shows that clustering- and instance-based algorithms are the most proposed MVI methods. Percentage of correct prediction (PCP) and root mean square error (RMSE) are most used evaluation metrics in these studies. For experimentation, majority of the studies sourced the data sets from publicly available data set repositories. A common approach is that the complete data set is set as baseline to evaluate the effectiveness of imputation on the test data sets with artificially induced missingness. The data set size and missingness ratio varied across the experimentations, while missing datatype and mechanism are pertaining to the capability of imputation. Computational expense is a concern, and experimentation using large data sets appears to be a challenge.Originality/valueIt is understood from the review that there is no single universal solution to missing data problem. Variants of ML approaches work well with the missingness based on the characteristics of the data set. Most of the methods reviewed lack generalization with regard to applicability. Another concern related to applicability is the complexity of the formulation and implementation of the algorithm. Imputations based on k-nearest neighbors (kNN) and clustering algorithms which are simple and easy to implement make it popular across various domains.

Benchmarking the practices of flexibility with maturity models and frameworks of organizational capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjai Kumar Shukla ◽  
Sushil
Keyword(s):  
Information Technology ◽  
Comparative Analysis ◽  
Business Environment ◽  
Organizational Capabilities ◽  
Maturity Model ◽  
Human Capabilities ◽  
Maturity Models ◽  
Content Type ◽  
Wide Range ◽  
Flexibility Maturity

PurposeOrganizational capabilities are crucial to achieve the objectives. A plethora of maturity models is available to guide organizational capabilities that create a perplexing situation about what stuff to improve and what to leave. Therefore, a unified maturity model addressing a wide range of capabilities is a necessity. This paper establishes that a flexibility maturity model is an unified model containing the operational, strategic and human capabilities.Design/methodology/approachThis paper does a comparative analysis/benchmarking studies of different maturity models/frameworks widely used in the information technology (IT) sector with respect to the flexibility maturity model to establish its comprehensiveness and application in the organization to handle multiple goals.FindingsThis study confirms that the flexibility maturity model has the crucial elements of all the maturity models. If the organizations use the flexibility maturity model, they can avoid the burden of complying with multiple ones and become objective-driven rather than compliance-driven.Research limitations/implicationsThe maturity models used in information technology sectors are used. This work will inspire other maturity models to adopt flexibility phenomena.Practical implicationsThe comparative analysis will give confidence in application of flexibility framework. The business environment and strategic options across organizations are inherently different that the flexibility maturity model well handles.Social implicationsA choice is put to an organization to see the comparison tables produced in this paper and choose the right framework according to the prevailing business situation.Originality/valueThis is the first study that makes a conclusion based on comparative benchmarking of existing maturity models.

Transforming people practices by re-structuring job engagement practices for generation z: An empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepika Pandita ◽  
Amresh Kumar
Keyword(s):  
Organizational Support ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Job Engagement ◽  
Content Type ◽  
Perceived Supervisor Support ◽  
Engagement Strategies ◽  
The Individual

Purpose This paper aims to develop the readers’ understanding of the transforming role of job engagement (JOB) drivers, specifically for Gen Z in information technology (IT) Companies across India. It measures the association of JOB and perceived organizational support (POS), perceived supervisor support (PSS) and co-worker relationship (COP) with a very special reference to Gen Z. Design/methodology/approach A total of 302 survey-based responses were collected. To test the conceptualized model of JOB, structural equation modeling was used. Confirmatory factor analysis was conducted using the AMOS platform toward determining the reliability and validity of the individual constructs and the overall model. Findings All three dimensions, namely, POS, PSS and COP, are positively related to JOB. Out of the three, the most contributing extent in engaging Gen Z is PSS. Research limitations/implications A conceptual framework of Gen Z engagement drivers could help human resource (HR) researchers fine-tune Gen Z employees’ retention strategy. The paper shows that it is not about pandering to them but about eliminating blocks so that Gen Z can deliver the future business. Practical implications The outcomes may aid establishments and policymakers in advancing and improving HRs policies in engaging Gen Z, who have started entering the organizations. Originality/value JOB practices can add to the determinations of the HRs processes in the IT start-ups organizations in dealing with Gen Z. This research reconnoiters the drivers of engagement strategies directly impacting JOB Gen Z.

Linking ethical leadership to administrative innovation in Ethiopian banks: the mediating role of knowledge process capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gedif Tessema Sinshaw ◽  
Atul Shiva ◽  
Manjit Singh
Keyword(s):  
Ethical Leadership ◽  
Structural Equation ◽  
Banking Sector ◽  
Organizational Capabilities ◽  
Equation Modeling ◽  
Mediation Model ◽  
Knowledge Process ◽  
Content Type ◽  
Mediating Role

PurposeThis paper aims to examine the mediating role of knowledge process capability (KPC) between ethical leadership (EL) and administrative innovation (AI) in the banking sector of Ethiopia.Design/methodology/approachThe study was conducted by a standardized questionnaire survey to collect the data from 266 employees of Commercial Bank of Ethiopia in 93 branches. The study employed structural equation modeling approach with Analyzing Moment of Structures 23.0 to test the hypothesized mediation model.FindingsThe results of this investigation disclose that EL has a significant and direct effect on AI and KPC. KPC also influences AI significantly.Originality/valueThe study revealed that KPC plays a partial mediating role in linking EL to AI, which is a new contribution to the existing literature of EL. This dimension can provide new dimensions to design organizational leadership which is based on sustainability paradigm. This can strengthen the organizational capabilities aiming to increasing innovative behaviors in order to have a deep-seated strategy.

Media portrayals of older employees: a success story?

2014 ◽  
Vol 27 (4) ◽  
pp. 583-597 ◽  
Author(s):  
Martine van Selm ◽  
Beatrice I.J.M. Van der Heijden
Keyword(s):  
Mass Media ◽  
Older Workers ◽  
Longitudinal Research ◽  
Empirical Studies ◽  
Empirical Work ◽  
Corporate Communication ◽  
Content Type ◽  
Media Portrayals ◽  
Older Employees ◽  
Age Related

Purpose – The purpose of this paper is to provide an analysis of how portrayals of older employees in mass media messages can help combating stereotypical beliefs on their employability. Design/methodology/approach – The authors conducted a systematic review of empirical studies on mass media portrayals of older employees in order to show what these reveal about the ways in which their employment status, occupation, job type, or work setting is portrayed. The approach builds upon theory on media portrayals, media effects, and stereotypes of older workers’ employability. Findings – This study shows that older employees in media portrayals, when present at all, are relatively often shown in higher-level professional roles, herewith overall, depicting an image that is positive, yet differs from stereotypical beliefs on their employability that are prevalent in working organizations. Research limitations/implications – Further empirical work is needed to more safely conclude on the prevalence of age-related portrayals of work and employment in mass media. In addition, longitudinal research is called for in order to better understand the possible causes for the way in which older employees are portrayed, as well as effects of age-related stereotyping in mass media and corporate communication outlets over time. Practical implications – This research sparks ideas about how new portrayals of older employees in mass media and corporate communication outlets can contribute to novel approaches to managing an aging and multi-generational workforce. Social implications – This study shows how working organizations can make use of the positive and powerful media portrayals of older employees, in order to activate normal and non-ageist behaviors toward them, and herewith, to increase their life-long employability. Originality/value – This study highlights the role of media portrayals of older employees in combating stereotypes about their employability.

How supplier knowledge impacts on organizational capabilities and willingness

2018 ◽  
Vol 48 (1) ◽  
pp. 140-158
Author(s):  
Peyman Akhavan ◽  
Ali Shahabipour ◽  
Reza Hosnavi
Keyword(s):  
Partial Least Square ◽  
Least Square ◽  
Organizational Capabilities ◽  
Matrix Analysis ◽  
Knowledge Flow ◽  
Primary Data ◽  
Development Programs ◽  
Content Type ◽  
Performance Matrix ◽  
Structured Questionnaire

Purpose The purpose of this paper is to conduct a survey on the knowledge for supplier correlation with their capabilities and willingness as segmentation criteria. There are many contexts for sharing knowledge. What are more beneficial contexts? Design/methodology/approach After developing the research hypothesis, a structured questionnaire was adopted to gather primary data from suppliers. The draft questionnaire was sent to five academic and industry experts to comment on the content. Received feedback was used to change the layout of the questionnaire. Instead of the traditional partial least squares, the state-of- art consistent partial least square technique was put into practice. Findings By definition, knowledge for supplier has a large impact on supplier capabilities. The Important-Performance Matrix Analysis (IPMA) prioritizes the indicators and suggests to focus on knowledge sharing about manufacturing processes, development expertise and marketing expertise. Results showed that supplier willingness for sharing confidential knowledge and longtime relationship depends on development programs. Practical implications Having a communication mechanism for each of the partnerships’ specific contexts was suggested to maximize the knowledge flow. Originality/value For maximizing the knowledge flow and studying the effect on the segmentation criteria such as capability and willingness, the main contribution of the paper is to survey the supplier knowledge in depth. The IPMA was implemented to highlight the indicators.

Operationalising resilience in tropical agricultural value chains

2019 ◽  
Vol 24 (2) ◽  
pp. 271-300 ◽  
Author(s):  
Joshua Aboah ◽  
Mark M.J. Wilson ◽  
Karl M. Rich ◽  
Michael C. Lyne
Keyword(s):  
Value Chain ◽  
Food System ◽  
Raw Materials ◽  
Citation Network ◽  
System Level ◽  
Value Chains ◽  
Common Source ◽  
Content Type ◽  
The Individual ◽  
Stakeholder Interactions

Purpose The analysis of the concept of resilience in supply chain management studies mostly focuses on the downstream side of the value chain and tacitly assumes an unlimited supply of raw materials. This assumption is unreasonable for agricultural value chains, as upstream disruptions clearly have a material impact on the availability of raw materials, and indeed, are a common source of supply problems. This paper aims to present a framework for the operationalisation of the concept of socioecological resilience in agricultural value chains that incorporates upstream activities. Design/methodology/approach A citation network analysis was adopted to review articles. A conceptual framework is then advanced to identify elements of resilience and indicators relevant to tropical agricultural value chains. Findings There are limited studies that assess resilience in the food chain context. Flexibility, collaboration, adaptability and resourcefulness are key elements for assessing resilience at the individual chain actor level. However, the paper argues that adaptability is the relevant element for the assessment of resilience at an aggregate food system level because it considers the alteration of a system’s state of resilience. Practical implications The proposed framework and propositions accommodate stakeholder interactions in the value chain and could serve as a tool to guide the assessment of resilience in agricultural value chains. Originality/value This paper is one of the few to extend resilience to cover the socioecological interaction aspects for supply chains that yield the raw materials needed for continuity in channel-wide value creation processes.

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