The Utilization of Mobile Technology for Crime Scene Investigation in the San Francisco Bay Area

The research presented aims to explore factors affecting the decision to adopt a mobile crime scene investigation application in police departments throughout the San Francisco Bay Area. To accomplish this goal, the mobile technology acceptance model was used in designing a survey for data collection. This model utilizes four categories to interpret the factors that influence a police officer’s decision to accept or reject mobile technologies: performance, security and reliability, management style, and cognitive acceptance. Nine police departments were sampled through a series of in-person and over-the-phone interviews to obtain data regarding factors affecting the adoption of a mobile crime scene investigation application. Results suggest that if a mobile crime scene investigation application were made available, a vast majority of the police departments in the Bay Area would implement this new technology

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

Agricultural software : a case study of feed and animal information systems in the New Zealand dairy industry : a thesis presented in partial fulfilment of the requirements of a Masters of AgriCommerce at Massey University, Palmerston North, New Zealand

Every farmer utilises agricultural software, either directly or indirectly, as part of feed and animal information systems (IS) used for decision making and compliance on New Zealand (NZ) dairy farms. With continued development and availability of advanced information and communication technologies (ICT), more farmers are using software in their IS. This study investigates: how NZ dairy farmers use agricultural software in their feed and animal IS; the software attributes that influence the use and impact of these software; and, the drivers and inhibitors of software use and impact. A case study research approach was used to investigate these questions. Evidence was collected using semi-structured interviews with six NZ dairy farmers with farms of different scale and ownership structure, and with five commercial agricultural software providers. Results show that feed and animal IS are particularly useful for farmer decision making and compliance at the operational and tactical management levels, but also produce data and information critical for strategic management. The number of software products used and the degree of data and information collation in animal IS compared to feed IS are considerably different. Animal IS were streamlined, with data and information collected and collated together in a limited number of software with only one or two ‘focal’ software as the centrepiece of the IS. In contrast, feed IS were less streamlined, with data and information flowing into a number of different software. Six important software attributes that influence use and impact of software were identified by farmers and providers, with ‘simplicity’ and, ‘integration with software and hardware’, the most highly recognised attributes. The delivery of software with these attributes was achieved by providers in a number of instances, however, other software failed to fully meet farmer needs. Organisational and people drivers/inhibitors had a greater effect on software use and impact than technological drivers/inhibitors indicating that these IS dimensions should be the focus of future improvements

The impact of Industry 4.0 implementation on supply chains

Purpose The study aims to analyse the impact of Industry 4.0 implementation on supply chains and develop an implementation framework by considering potential drivers and barriers for the Industry 4.0 paradigm. Design/methodology/approach A critical literature review is performed to explore the key drivers and barriers for Industry 4.0 implementation under four business dimensions: strategic, organisational, technological and legal and ethical. A system dynamics model is later developed to understand the impact of Industry 4.0 implementation on supply chain parameters, by including both the identified driving forces and barriers for this technological transformation. The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains. Findings Industry 4.0 is predicted to bring new challenges and opportunities for future supply chains. The study discussed several implementation challenges and proposed a framework for an effective adaption and transition of the Industry 4.0 concept into supply chains. Research limitations/implications The results of the simulation model are utilised to develop a conceptual model for a successful implementation and acceleration of Industry 4.0 in supply chains. Practical implications The study is expected to benefit supply chain managers in understanding the challenges for implementing Industry 4.0 in their network. Originality/value Simulation analysis provides examination of Industry 4.0 adoption in terms of its impact on supply chain performance and allows incorporation of both the drivers and barriers of this technological transformation into the analysis. Besides providing an empirical basis for this relationship, a new conceptual framework is proposed for Industry 4.0 implementation in supply chains

A review and future direction of agile, business intelligence, analytics and data science

Agile methodologies were introduced in 2001. Since this time, practitioners have applied Agile methodologies to many delivery disciplines. This article explores the application of Agile methodologies and principles to business intelligence delivery and how Agile has changed with the evolution of business intelligence. Business intelligence has evolved because the amount of data generated through the internet and smart devices has grown exponentially altering how organizations and individuals use information. The practice of business intelligence delivery with an Agile methodology has matured; however, business intelligence has evolved altering the use of Agile principles and practices. The Big Data phenomenon, the volume, variety, and velocity of data, has impacted business intelligence and the use of information. New trends such as fast analytics and data science have emerged as part of business intelligence. This paper addresses how Agile principles and practices have evolved with business intelligence, as well as its challenges and future directions

When traditional information technology project managers encounter the cloud: Opportunities and dilemmas in the transition to cloud services

Cloud computing has rapidly changed the conventional way information technology (IT) products and services are delivered. This study aims to identify the opportunities and dilemmas IT project managers are encountering in managing cloud projects, and to develop a system dynamics model to capture the complexity of cloud adoption. A questionnaire survey was conducted among IT project managers and data were analyzed via T-Tests, ANOVA, and principal component analysis. The identified opportunities and dilemmas in adopting cloud services formed the elements in the system dynamics model. Findings revealed incorporating cloud services in IT projects could shorten project timeline, optimize project scope, and reduce project cost. However, project managers also expressed concern about data privacy, security, IT governance, and local regulation when moving services to the cloud. Incorporation of proper change management plan and detailed risk management plan are required to identify the privacy and regulatory concerns

Knowledge Management and Sustainable Agriculture:the Italian Case

The contemporary knowledge-based economy requires global usage of information in all aspects of modern society. Pertinent information is an important asset for successful business, therefore an application of knowledge management in organisational practice has become a crucial factor for the viability and sustainable development of enterprises. This is particularly relevant for the agricultural context, which needs modern practices for enhancement and development. However, information and knowledge, due to their intangible character, seem difficult to manage and organize. Therefore the paper targeted at developing sustainable organizational model of knowledge management for small and medium enterprises. Italian agriculture is considered as a context for this study, and knowledge management was offered as a tool for facilitating agricultural performance and increasing competitiveness of agricultural sector. A wide concept of knowledge management and specified agricultural context require a theory-based approach to research and a survey. Thus, the research methodology includes the next four parts. The first one contains literature review and examines definitions, strategies, approaches and models of sustainable knowledge management. The second part includes content analysis of 105 scientific publications. The third part of methodology is based on the results of the two previous parts and includes creating the model of knowledge management. Verification of this model is the last part of the research. Verification was executed through on-line questionnaire distributed to Italian agricultural enterprises throughout the country on their intentions and awareness towards knowledge management and developed model of knowledge management. The results of the survey have demonstrated farmer’s incentives to implement the developed knowledge management model with flexible approach in its organisation