A conceptual model of knowledge work productivity for software development process: Quality issues

Knowledge is considered as the main competitive asset of the organization.Work on the knowledge work productivity has barely begun, but the most important contribution that management needs to construct in the 21st century is not only to increase the productivity of knowledge work and knowledge workers in the new century.The quality of knowledge work productivity are becomes pivotal in the context of software development today.Software development is a knowledge-intensive activity and its success depends heavily on the developers’ knowledge and experience. A conceptual model will be proposed on a way describing organization to improve quality of knowledge work productivity. The methodology begins with a reviewing a theoretical foundation and expert review that provides the scientific basis for knowledge work productivity specifically for software development. A questionnaire will be constructing in order to investigate the relationship between factors of knowledge work and quality of productivity on knowledge work. The respondents are software developers from Small Manufacturing Enterprise(SME). The data will be analyzed using Structural Equation Modeling (SEM) to identify the significant direct relationship effect among the factors. The proposed model will be helpful for the software developers to understand the determinant factors for knowledge works productivity

COVID-19 Remote Work: Body Stress, Self-Efficacy, Teamwork, and Perceived Productivity of Knowledge Workers

Due to COVID-19, companies were forced to adopt new work processes, and reduce modern work environments such as collaboration spaces. Pro-fessionals from many fields were forced to work remotely, almost over-night. Little is known about the impact of such non volunteer, long-term remote work on productivity, stress, and other key aspects of work perfor-mance. To further our understanding of the impacts of this situation and re-mote work in general, we conducted an exploratory study by studying 28 knowledge work professionals (researchers, software developers, interior designers, service designers, and development consultants) from the view-point of perceived productivity and aspects affecting it in this unusual set-ting. Early results showed the positive influence of self-efficacy and team-work on productivity during the remote work, while no moderating effect of measured physical stress on productivity either through the intrinsic or so-cial factor was present

The functions of visual management

Visual Management has been evolving and effectively employed in some manufacturing and service organisations for a long time. In order to facilitate a cross-industrial learning process and to advance in detailed research the understanding of how the Visual Management concept may serve in an organisation is necessary. The aim of this paper is to identify Visual Management functions and the theoretical base for the construction industry. A detailed literature review and an analysis of the findings were performed accordingly. The necessity of a holistic approach in order to make more use of the Visual Management process and some research opportunities were identified

A KNOWLEDGE WORK PRODUCTIVITY CONCEPTUAL MODEL FOR SOFTWARE DEVELOPMENT PROCESS IN SME

ABSTRACT The last decade, there has been a growing interest in the knowledge management literature relating to the factors that influence a company's ability to increase productivity. There is a general consensus that knowledge and skills are necessary to develop the capabilities of knowledge workers. However, there is a very little understanding regarding the knowledge work productivity factors as well as their impacts on the quality of the knowledge work productivity in a software development process. The relationships between the knowledge work productivity factors and its quality of knowledge work productivity in small and medium enterprises (SMEs) environment were explored. SMEs were chosen particularly for two main reasons: a SME constitutes a major part of the economy and it has been quite successful in developing quality knowledge work productivity. The knowledge work productivity factors, determined through literature review, were used to develop the knowledge work productivity conceptual model development. Data were collected from 300 respondents representing the SMEs in Malaysia. In addition, the conceptual model was validated using the structural equation modeling. The results do not only provide evidence on the knowledge work productivity factors that are important to the knowledge work productivity and business success but also have implications for both research and practice in SME

A knowledge work productivity conceptual model for software development process in SME

The last decade, there has been a growing interest in the knowledge management literature relating to the factors that influence a company's ability to increase productivity.There is a general consensus that knowledge and skills are necessary to develop the capabilities of knowledge workers.However, there is a very little understanding regarding the knowledge work productivity factors as well as their impacts on the quality of the knowledge work productivity in a software development process. The relationships between the knowledge work productivity factors and its quality of knowledge work productivity in small and medium enterprises (SMEs) environment were explored.SMEs were chosen particularly for two main reasons: a SME constitutes a major part of the economy and it has been quite successful in developing quality knowledge work productivity.The knowledge work productivity factors, determined through literature review, were used to develop the knowledge work productivity conceptual model development.Data were collected from 300 respondents representing the SMEs in Malaysia.In addition, the conceptual model was validated using the structural equation modeling.The results do not only provide evidence on the knowledge work productivity factors that are important to the knowledge work productivity and business success but also have implications for both research and practice in SME

Personality traits, motivation and knowledge worker productivity

Thesis (M.Com. (Management))--University of the Witwatersrand, Faculty of Commerce, Law and Management, School of Economic and Business Sciences, 2016.In an economic environment where knowledge based-work is the strategic component of value creation and competitive advantage, knowledge workers have become the engine that drives sustainability and profitability. Knowledge workers are described as workers with high degrees of education, expertise and whose primary task is to create, distribute and apply knowledge. With the increasing demand and number of knowledge workers in the work force, the productivity of knowledge workers has become an imperative management task as well as a decisive economic factor. Despite the continuous stream of research on knowledge worker productivity, knowledge worker productivity continues to be one of the greatest challenges facing managers today. Knowledge worker productivity refers to ability of knowledge workers to effectively collect, create and use inherent knowledge to produce goods and services. Inherent knowledge is highly personal and cannot be separated from the person who holds it. Further, inherent knowledge is closely related to the technical skills that an individual has and are only known to the person who possesses those skills. If organisations wish to leverage this inherent knowledge to their competitive advantage, they need to know how to engage and stimulate the deepest parts of the human mind. However, no two individuals are the same. Personnel psychology literature has long stressed that meaningful differences exist between people. These individual differences influence individual work performance and behaviour. Although several studies have addressed the issue of personality predicting job performance, there is a lack of knowledge of the relationship between personality, motivation and knowledge worker productivity, specifically in the South African context. This study attempts to address this lack of knowledge through a quantitative study of the relationship between personality, motivation and knowledge worker productivity. The study investigated whether the intrinsic personalities of knowledge workers and motivation predict knowledge worker productivity. Although several studies have directly addressed the issue of personality predicting job performance, few studies have directly investigated whether motivation mediates the relationship between personality and specifically knowledge worker productivity. Consequently, there is limited evidence to support the arguments of the present study. The theoretical and practical implications for knowledge worker productivity are discussed

Transitions across work-life boundaries in a connected world: the case of social entrepreneurs

Information and communication technologies (ICTs), including mobile technologies, have significant implications for the management of work-life balance (WLB) (e.g. Perrons, 2003) and thus for sustainable work practices within organizations and society at large. Boundary theory (Clark, 2000) argues that individuals maintain boundaries between role identities (e.g. parent, worker) within different social domains (e.g. family, work), and that they regularly have to transition between these domains. WLB may reflect the effectiveness of this transitioning. ICTs have significant implications for the management of these boundaries, particularly as they open up new areas for interaction through mobility and through the potential provision of a variety of easily available connections. In this paper, we report on the findings of 15 social entrepreneurs’ video and interview data. In particular, we explore and advance understanding of the individual experience of switching between roles and domains in relation to ICT use and connectivity

Intra- and Inter-Industry Productivity Spillovers in OECD Manufacturing: A Spatial Econometric Perspective

We adopt a spatial econometric approach to estimate intra- and inter-industry productivity spillovers in total factor productivity transmitted through input-output relations in a sample of 13 OECD countries and 15 manufacturing industries. Both R&D spillovers as well as remainder, input-output-related linkage effects are accounted for, the latter of which we model by a spatial regressive error process. We find that knowledge spillovers occur both horizontally and vertically, whereas remainder spillovers are primarily of intra-industry type. Notably, these intra-industry remainder spillovers turn out economically more significant than R&D spillovers.intra-industry spillovers, inter-industry spillovers, productivity, spatial econometrics, research and development