scholarly journals Heuristic for Network Coverage Optimization Applied in Finding Organizational Change Agents

Author(s):  
Blazej Zak ◽  
Anita Zbieg
2019 ◽  
Vol 118 (3) ◽  
pp. 158-169
Author(s):  
Dheera.V. R ◽  
Jayasree Krishnan

Organizations that are aiming to successfully implement change needs the support and acceptance of employees who are their key stakeholder. This study analyses the influence of Employees` attitude towards organization change. The research also aims at evaluating the influence of employees’ attitude towards commitment to organization and job after the introduction of change in the organization. The study was conducted among 300 employees who belonged to executive and managerial category from different star rated hotels in Chennai, Tamil Nadu, India which are currently embracing organization changes. The findings indicate that employees of the study demonstrate a positive approach towards the change management in their organization. The observations also project that a positive approach by employees towards changes, is a very good indication for organizations to know that their workforce is committed towards the organizational goals. Hence with the support of change agents, adequate communications and by creating awareness about the need for change will result in sustainable growth in the organizations.


2021 ◽  
Vol 17 (5) ◽  
pp. 155014772110181
Author(s):  
Yinggao Yue ◽  
Hairong You ◽  
Shuxin Wang ◽  
Li Cao

Aiming at the problems of node redundancy and network cost increase in heterogeneous wireless sensor networks, this article proposes an improved whale optimization algorithm coverage optimization method. First, establish a mathematical model that balances node utilization, coverage, and energy consumption. Second, use the sine–cosine algorithm to improve the whale optimization algorithm and change the convergence factor of the original algorithm. The linear decrease is changed to the nonlinear decrease of the cosine form, which balances the global search and local search capabilities, and adds the inertial weight of the synchronous cosine form to improve the optimization accuracy and speed up the search speed. The improved whale optimization algorithm solves the heterogeneous wireless sensor network coverage optimization model and obtains the optimal coverage scheme. Simulation experiments show that the proposed method can effectively improve the network coverage effect, as well as the utilization rate of nodes, and reduce network cost consumption.


Author(s):  
Devi Akella ◽  
Grace Khoury

Resistance to change happens to be a phenomenon in which both the change agents and change recipients are equally responsible for all forms of resistance. Resistance and its various forms are an outcome of the change agents' observations and their interpretations of the conversations, behavior, and reactions of the change recipients. This chapter uses auto-ethnographic reflexive narratives of two change agents involved in the self-assessment process at a college planning to seek US-based business program accreditation to make sense of the change process. The purpose of this chapter is to emphasize the under-reflected role of the change agents and how they influence and affect the behavior of change recipients and thereby contribute towards employee resistance. The chapter also emphasizes the crucial role of reflection and introspection in the sensemaking activities of the change agents in the entire change initiative and thereby adds evidence-based organizational change and development initiatives in an academic setting where research is limited.


2020 ◽  
Vol 33 (5) ◽  
pp. 753-763
Author(s):  
David P. Waggoner

PurposeThis article explores how recognizing politics may help change agents have better success enacting change.Design/methodology/approachA conceptual paper using systems and practical domains to define a more sophisticated and useful definition of politics for change agents' use.FindingsThe article argues that there is an innate correlation between organizational change and organizational politics.Research limitations/implicationsThis article is a call to action for future empirical study on political skill.Practical implicationsThis paper is a practical invitation for change agents to recognize and adopt the positive aspects of political skill to aid in their efforts.Originality/valueThough organizational politics traditionally receives a negative connotation, there is growing research supporting the positive use of politics. This connection has yet to be fully discovered when one reads the literature. This concept paper is an invitation to begin further study.


2011 ◽  
Vol 17 (6) ◽  
pp. 797-811
Author(s):  
Melanie Bryant ◽  
Jennifer Frahm

AbstractThis paper argues that change practitioners could benefit from expanding change communication strategies to allow for the emergence and use of multi-genre change stories in place of minimalist storylines. We argue that minimalist storylines do not acknowledge the polyvocal view of change that has been discussed in storytelling theory or engage with multiple modes of understanding and suggest that change agents adopt a multi-genre approach to storytelling to address this gap. Drawing from Quentin Tarantino's movies Kill Bill 1 & 2 as an example of how stories can be constructed, this paper proposes that the use of multiple story genres increases the likelihood of audiences finding a genre they can relate to, thus increasing better audience reach. Findings suggest that existing change narrative types can be viewed as genres of organizational change and added to change agents' repertoires to make change communication interventions more appropriate and appealing to employees. While our paper aims to provide a conceptual way forward for change agents, we acknowledge that change agents need to engage with living stories in the future. Living stories recognize the multiple loose ends developed from past and present change experiences that can be used to construct new stories, which are more likely to transform organizations and acknowledge the unfolding nature of change.


2014 ◽  
Vol 644-650 ◽  
pp. 2116-2119
Author(s):  
Xiao Chun Lou ◽  
Xie Yu

Wireless sensor network coverage control is studied under conditions to ensure quality of service, in order to maximize network coverage, covering the use and application of the algorithm optimization strategy, contribute to the effective control of the network node energy and improve the perceived quality of service network lifetime extension of time. This paper presents an improved genetic algorithm to optimize the network effective coverage of the target, achieved through the coverage control algorithm crossover and mutation operation and a detailed analysis of the impact of sensing radius of coverage performance. Simulation results show that the algorithm is effective coverage reaches more than 85%, can effectively achieve wireless sensor network coverage optimization.


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