Advances in Management Accounting (AIMA) is a publication of quality applied research in management accounting. The journal’s purpose is to publish thought-provoking articles that advance knowledge in the management accounting discipline and are of interest to both academics and practitioners.
As a premier management accounting research journal, AIMA is well-poised to meet the needs of management accounting scholars.
Featured in Volume 32 are articles on:
Public Sector Joint Ventures; Control; Trust; Perceived Risk; Cost Stickiness; Cost Behavior; Environmental, Social, and Governance (ESG) Sustainability Performance; Information Asymmetry; Sustainability Disclosure; Corporate Social Responsibility (CSR); Asymmetric Cost Behavior; Lease Cost
Stickiness; Retail Firms Cost Stickiness; Mood; Sunshine; Managerial Optimism; Asymmetric Cost Behavior; Adjustment Costs; Academic Research, Research-Practice Gap; Rigor-Relevance; Impact; Engagement; Relational Performance Measurement System; Managerial Ability; Employee Productivity; Employee
Efficiency; Employee Cost; Financial Distress; Environmental Uncertainty.
Using contemporary examples of business and management research, predominantly within the context of India, this book offers numerous tools and techniques which can be applied to a diverse range of needs in social science research.
With contributions from subject-experts in the field of research methodology and teachers of research methodology courses in leading business schools and universities of India, the book covers the essentials of management research. Covering both qualitative and quantitative research, topics
qualitative and quantitative data analysis
grounded theory research
questionnaires, focus groups, and interviews
case study research
emerging trends in research and some advanced analysis.
Specially selected Research Cases provide examples of some typical management research topics, outlining the detailed stages of their respective research processes and the latest data analysis techniques using SPSS, AMOS and STRATA.
This practical element emphasises the variety of research methods and when/how to use them, making this book a useful resource for researchers from various academic disciplines and professional backgrounds.
K. Ganesh, Sanjay Mohapatra, R. A. Malairajan, M. Punniyamoorthy
Resource Allocation (RA) involves the distribution and utilization of available resources in the system. Because resource availability is usually scarce and expensive, it becomes important to find optimal solutions to such problems. Thus RA problems represent an important class of problems faced by
mathematical programmers. This book focuses on development of models and heuristics for six new and complex sub-classes of RA problems in Supply Chain (SC) networks, focusing on bi-objectives, dynamic input data, and multiple performance measures based allocation and integrated allocation, and
routing with complex constraints. It considers six set of variants of the RA problems normally encountered in practice but have not yet been studied. These variants of the classical RA are complex and pertaining to both manufacturing and service industry.