The Forest Department in the State of Uttar Pradesh, India developed Forest Management Information System (FMIS) for achieving organizational goals of improved financial and human resource management, improvement in t...The Forest Department in the State of Uttar Pradesh, India developed Forest Management Information System (FMIS) for achieving organizational goals of improved financial and human resource management, improvement in the management of forests and wildlife, and for achieving responsive administration. This paper, based on field research, presents an assessment of the dynamics of FMIS in organizational context for a better understanding of such systems in forestry organizations. The paper also investigates the success of FMIS in assisting decision makers in achieving organizational goals. Based on the knowledge developed during the course of the study, key learning elements have been highlighted for the benefit of the stakeholders in information systems in forest sector.展开更多
A great deal of has been written about the challenges of a legal profession that resists change and sub-optimizes clients’benefits,and even more ink has been spilled on the opportunities and threats of AI.As laws are...A great deal of has been written about the challenges of a legal profession that resists change and sub-optimizes clients’benefits,and even more ink has been spilled on the opportunities and threats of AI.As laws are falling further behind an accelerating,dynamic world,the gap between businesses and opaque legal functions widens with the latter being perceived often as fire-fighting cost centers.This article calls out the opportunity of AI,specifically machine learning,and its impact on decision making as an opportunity for business leaders to elevate lawyers to contribute further to corporate strategies and operations.Surveying the implications of machine learning through the lens of each element of decision making,the article aims to bring the relevance of today’s ubiquitous transformations to the legal function.It also reminds business leaders that the legal function will need some help,such as corporate legal strategists,to drive and sustain change that resides in the intersection of law,business and technology.展开更多
文摘The Forest Department in the State of Uttar Pradesh, India developed Forest Management Information System (FMIS) for achieving organizational goals of improved financial and human resource management, improvement in the management of forests and wildlife, and for achieving responsive administration. This paper, based on field research, presents an assessment of the dynamics of FMIS in organizational context for a better understanding of such systems in forestry organizations. The paper also investigates the success of FMIS in assisting decision makers in achieving organizational goals. Based on the knowledge developed during the course of the study, key learning elements have been highlighted for the benefit of the stakeholders in information systems in forest sector.
文摘A great deal of has been written about the challenges of a legal profession that resists change and sub-optimizes clients’benefits,and even more ink has been spilled on the opportunities and threats of AI.As laws are falling further behind an accelerating,dynamic world,the gap between businesses and opaque legal functions widens with the latter being perceived often as fire-fighting cost centers.This article calls out the opportunity of AI,specifically machine learning,and its impact on decision making as an opportunity for business leaders to elevate lawyers to contribute further to corporate strategies and operations.Surveying the implications of machine learning through the lens of each element of decision making,the article aims to bring the relevance of today’s ubiquitous transformations to the legal function.It also reminds business leaders that the legal function will need some help,such as corporate legal strategists,to drive and sustain change that resides in the intersection of law,business and technology.
