Search results

The purpose of this paper is to critique and extend contemporary scholarship on information and communication technologies (ICTs). This paper argues that the focus on the selection and use of a single communication medium limits the understanding of current ICT use in organizations. A combinatorial perspective is needed to capture the complexities of multiple ICTs use for achieving communication goals and completing tasks.

This paper addresses the trending phenomenon of combinatorial use of ICTs by offering a critical review of the theoretical studies and empirical research in scholarly books and journals and deriving novel theoretical research questions that set the stage for future studies.

This paper identifies how combinatorial ICT use as a perspective that uniquely elucidates ICT use in organizations, clarifies key terms used in previous research and proposes theoretical and operational recommendations for researchers and corporate practitioners who are interested in studying the combinatorial use of ICTs.

This paper highlights that understanding the combinatorial use ICTs in complex work environments could have significant implications for productivity and efficiency of individuals and corporations. This paper serves as a catalyst for on-going research conversations regarding combinatorial ICT use, while assisting organizational communication researchers and practitioners in describing, theorizing and advancing ICT implementation, use and outcomes.

People spend a lot of time communicating with their co-workers each day; however, research has yet to explore how colleagues influence each other’s health behaviors. The purpose of this paper is to examine the association between health-related communication and health behaviors among co-workers in a workplace wellness program.

Participants (n=169) were recruited from a large south-western university and its local school district through e-mail announcements sent from a wellness administrator. Participants were part of a workplace wellness program that offers several daily group fitness classes, as well as cooking classes, and other educational programs for faculty and staff.

Structural equation modeling was used to examine the association between people’s perceived social influence and social support from co-workers, organizational socialization and their health behaviors. Results indicated that perceived social influence from co-workers had an indirect effect on people’s health behaviors through their perceived social support from their co-workers, as well as through their organizational socialization.

These variables were examined cross-sectionally, meaning that causal relationships and directionality cannot be determined in this study.

Co-worker communication and socialization appear to be important factors in understanding individuals’ health behaviors; thus, organizations that offer workplace wellness programs should provide opportunities for socialization and co-worker communication to facilitate employees’ healthy behaviors.

Although the authors only looked at one wellness program and did not examine these variables in programs of varying sizes and types, this study uniquely incorporates interpersonal and organizational communication perspectives in order to give new insight into co-workers’ health-related communication.

The purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems.

After presenting the concepts of grey systems and grey numbers, this paper surveys existing approaches for solving grey linear programming problems and applications. Also, methods and approaches for solving grey linear programming are classified, and its advantages and disadvantages are expressed.

The progress of grey programming has been expressed from past to present. The main methods for solving the grey linear programming problem can be categorized as Best-Worst model, Confidence degree, Whitening parameters, Prediction model, Positioned solution, Genetic algorithm, Covered solution, Multi-objective, Simplex and dual theory methods. This survey investigates the developments of various solving grey programming methods and its applications.

Different methods for solving grey linear programming problems are presented, where each of them has disadvantages and advantages in providing results of grey linear programming problems. This study attempted to review papers published during 35 years (1985–2020) about grey linear programming solving and applications. The review also helps clarify the important advantages, disadvantages and distinctions between different approaches and algorithms such as weakness of solving linear programming with grey numbers in constraints, inappropriate results with the lower bound is greater than upper bound, out of feasible region solutions and so on.