AN ANALYTICAL APPROACH TO BUILDING A TECHNOLOGY DEVELOPMENT ENVELOPE (TDE) FOR ROADMAPPING OF EMERGING TECHNOLOGIES

2007 ◽  
Vol 04 (02) ◽  
pp. 121-135 ◽  
Author(s):  
N. GERDSRI

This paper presents the research on the development of a new concept and methodology called Technology Development Envelope (TDE). The TDE approach is applied to identify the optimum path in developing a technology roadmap in which the company's technology strategies and business strategies are combined. TDE allows the executive level decision makers in corporations, as well as the policy level decision makers in governments to incorporate emerging technologies into the development of technology strategies. The combination of Delphi method and Hierarchical Decision Modeling (HDM) is used as a foundation for building the TDE concept. The judgments from technology developers and technology implementers are utilized in the process to ensure that the technology strategies are in full support of corporate goals and objectives.

2021 ◽  
Vol 13 (12) ◽  
pp. 6752
Author(s):  
Idiano D’Adamo ◽  
Rocío González-Sánchez ◽  
Maria Sonia Medina-Salgado ◽  
Davide Settembre-Blundo

The pandemic has changed the citizens’ behavior, inducing them to avoid any real contact. This has given an incredible impulse to e-commerce; however, the complexity of the topic has not yet been adequately explored in the literature. To fill this gap, this study has a twofold purpose: (1) to investigate how European countries comparatively perform in e-commerce, and (2) to describe what are the most important challenges for the further expansion of e-commerce. To this end, we adopted a hybrid methodology based on multi-criteria decision analysis (MCDA) and a Likert scale survey. The first method allows to us rank the e-commerce performance of different European countries, while the second one looks at the problems and barriers that characterize online shopping. The results of the study show that European countries have different sensitivities to the issue of cyber-security, and among them it is possible to identify three groups with different levels of attention to the critical issues of e-commerce. The Netherlands, Sweden and Denmark belong to the group of countries most responsive to e-commerce. This request is part of a broader framework of transition toward sustainable development, i.e., a reliable digital environment where citizens and businesses can exercise their rights and freedoms in complete security. Finally, from a theoretical perspective, this paper adds a new baseline to the literature on the state of the art of e-commerce in Europe that addresses the effects of the pandemic. From a managerial point of view, decision makers can find in the results of this analysis a support for the setting of business strategies for the expansion of firms in certain markets and guidance for public authorities when defining regulatory policies for e-commerce.


Author(s):  
Taylor Dotson

This chapter applies the intelligent trial-and-error framework developed by Edward Woodhouse and David Collingridge to technologies that impact community life. The framework has generally been used to analyse technologies with environmental, physiological, and financial – rather than psychocultural – risks. This chapter explores how technological innovation related to driverless cars and social robots would proceed if important decision makers were to take their potential social and communal risks seriously. Next, intelligent trial-and-error is proposed as a set strategies to make attempts to deploy communitarian technologies more effective, considering the cases of residential development and cooperative grocery stores. Finally, this chapter examines the barriers to getting intelligent trial-and-error applied more of the time and to already existing, rather than only emerging, technologies.


Author(s):  
Yaotai Lu

Information management is an essential part in the public budgetary process. This paper analyzes the theoretical basis, tools, and consequences of information management throughout a budget cycle. Budgeters and decision makers need necessary financial data related to all types of revenues and expenditures, economic conditions, and agency needs, among other factors. From an organization theory perspective, budget agencies face a great number of uncertainties and constraints throughout each phase of a budget cycle. Using appropriate budgeting techniques and approaches, they collect, analyze, and use necessary information to make rational budgetary decisions regarding revenue raising and resource distribution. They intend to attain such goals and objectives as cutting inefficient expenditure, achieving more output and outcome with less input, and attaining oriented societal consequences. Extensive efforts in budget reforms have resulted in considerable productivity in government administration, but at a low level. Continuous efforts are needed for further improvement of performance.


Author(s):  
Ratmond Papp

The concept of strategic alignment is more than two decades old (McLean and Soden, 1977; IBM, 1981; Earl, 1983; Mills, 1986; Brancheau and Wetherbe, 1987; Parker and Benson, 1988; Henderson and Venkatraman, 1990; Dixon and John, 1991; Niederman, et. al., 1991; Watson and Brancheau, 1991; Liebs, 1992; Luftman, Lewis and Oldach, 1993; Goff, 1993), however it has never been more timely than in today’s fast-paced, dynamic business environment (Papp, 1998; Rogers, 1997). The original alignment model was a largely theoretical construct that studied only a single industry (Henderson & Venkatraman, 1990; Henderson & Thomas, 1992) but has since been adapted for use by virtually any industry looking to integrate their business strategies with their information technology strategies (Papp, 1995; Luftman, Papp, & Brier, 1995).


2019 ◽  
Vol 16 (06) ◽  
pp. 1950045
Author(s):  
Sung Jin Kim ◽  
Nasir Jamil Sheikh ◽  
Gerald Stokes

Arms import decisions have a significant impact on certain nations. Priorities based on diverse policies are a major cause of conflict and dissent among policy decision makers and practitioners. This is because there are many competing qualitative and quantitative decision elements from varying perspectives. Hence, it has been difficult to compare them and rank their contributions to the final decision. Instead, a common approach has been to make decisions reacting to the situation at hand and on a case by case basis. Another approach is to use a rational decision model and expert judgments to assess arms import policies. For this, a hierarchical decision model (HDM) is used to identify the decision elements. Once a model framework is established many aspects of the results can be studied. In this research, a decision model based on technology, economics, politics, industry, and military (TEPIM) perspectives is developed for assessment of arms import policies. The case of the Republic of Korea is considered. The perspectives and their composite criteria are then ranked using the consensus of panels of experts and decision makers. An important aspect of expert judgment consensus is the management and analysis of disagreements. This study includes hierarchical cluster analyses and MANOVA of the disagreements between the decision makers and practitioners. We have confirmed that the stakeholder arms procurement organizations are guided by their organizational mission and this has an impact on their policy priorities and hence can result in disagreements.


2019 ◽  
Vol 2019 ◽  
pp. 1-17 ◽  
Author(s):  
D. I. Contreras-Medina ◽  
E. Sánchez Osorio ◽  
L. A. Olvera Vargas ◽  
Y. Romero Romero

Having demonstrated its importance for economic and human developments, technological change is considered one of the biggest supports worldwide. Today, with the population increase, the inclusion of technology is considered the most appropriate way to reduce the impact of this challenge. Considering 171 indigenous coffee producers from Paraje Montero and Tierra Colorada from Guerrero, Mexico, the present study proposes technological routes for the indigenous coffee production chain and the inclusion of emerging technologies such as sensors, actuators, and processing devices basing on the requirements of the chain. During face-to-face sessions, questionaries, field visits, and literature review for knowledge management, the results expose the need of effective actions against diseases and the reduction of climate change, lack of infrastructure, old plantations, and lack of commercialization channels; for these and considering the requirement of greenhouse technology by indigenous coffee producers and following the labor value driver of the digital compass, the necessity of several kinds of sensors, technologies, and methodologies has been identified with high possibilities to be implemented by similar producers analyzed in this manuscript to help in solving the problems identified in this work. The combination of remote sensing, signal processing, and spectroscopy could be employed to explore mineralogical features of soil and help problems with fertilization; sensor modules to collect temperature, humidity, and light intensity data are a priority for greenhouse monitoring; electrochemical sensors and optical technologies could be of great help to detect the presence of diseases in coffee plants; and the installation of a greenhouse solar dryer is necessary to reduce the time of the sun drying process and protect the coffee cherry. These emerging technologies will help to improve the production of coffee. The study contributes to identify a technology roadmap proposing technological implements according to indigenous coffee production chain requirements and serves as support for future studies in indigenous regions.


Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.


2021 ◽  
Vol 2 ◽  
Author(s):  
Francesco Russo ◽  
Giuseppe Musolino

Geographical location, infrastructures, and services are the main consolidated pillars of a port in terms of its capacity to compete and cooperate with other ports. In the last years, a new pillar was identified: emerging technologies. Ports’ issues were initially solved with individual ICT solutions adopted by each decision-maker, which generated efficiencies in the three main port flows: cargo, information, and financial. However, new benefits and challenges are connected with the introduction of shared emerging ICT among decision-makers inside ports. The crucial issue concerns the fact that several decision-makers could share a decision about a single-port operation. Therefore, the effectiveness and efficiency of ports depend on how the interactions between the decision-makers are solved. Port operations are associated with movements (cargo) and transactions (information and financial) in a synchronic graph, which allows highlighting the role of emerging technologies in the modification of port operation generalized cost, considering the different decision-makers. The focal point concerns the building of a theoretical model using the formal equations of Transport System Models (TSMs) for the estimation of the cost for a Unit of Load (UL), e.g., a container traveling along a path, composed of a sequence of port operations, inside a port with and without emerging technologies. The proposed theoretical model provides the possibility of estimating ex ante the reduction of cost (port time of UL) given by introducing new technologies and a Port Community System (PCS). Different scenarios, considering some cases, ranging from the absence of ICT to the presence of a PCS, are compared, considering the different situations from a non-congested port to a congested one. The main results of the study and its novelty concern, on the one hand, the extension of TSMs to port systems, highlighting the problem of a non-single decision-maker (two or more) in some port operations and, on the other hand, the possibility of reducing the generalized cost (e.g., time) in the same operations in which there are concurrent decision-makers, through the use of an advanced PCS. The reported numerical example confirms the theoretical results. The work can be useful for researchers for port planners (e.g., port authorities) because it permits evaluating the utility for introducing shared emerging technologies using advanced PCS in a unified view.


2021 ◽  
Vol 26 (4) ◽  
pp. 299-308
Author(s):  
Mircea Udrescu ◽  
Eugen Siteanu

Abstract While emerging technologies are generally incipient technologies, still under development, whose competitive impact is expected to be quite high and may have long-term strategic significance, by replacing current technologies with the potential to become key technologies, “emerging destructive technologies”designates the set of emerging technologies that are meant to be destructive and be used as methods, systems and techniques specific to war. And, since the great powers do not seem too willing to bury the hatchett of war, but use it in all geopolitical discourses, the destructive component of emerging technologies has become a catalyst for the innovative efforts of companies and states, which leave open great prospects for success in the lucrative business. The practice of emerging technologies so far has led to a change in the paradigm of warfare for many countries, to the conduct of remote warfare, to simultaneous and rather complicated hybrid actions, to the transformation of radio and television into modern instruments of psychological warfare. Emerging technologies with a destructive role are in the process of triggering new revolutions in the field of military affairs, resulting in the privatization of quality ideas incorporated in the means of combat, but also to dominate the market competition. Emerging technologies with a destructive effect propose for political decision makers: the decrease of human density on the battlefield, a modular articulated army with the possibility of ad-hoc summoning, a modern vision of the super-soldier, robotization and miniaturization of combat technique.


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