A simple decision-making approach for information technology solution selection

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

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Trust Leadership: A Work-from-Home Scenario in Its Sector During the COVID-19 Pandemic

Jindal Journal of Business Research ◽

10.1177/22786821211047613 ◽

2021 ◽

pp. 227868212110476

Author(s):

Rahul. P

Keyword(s):

Decision Making ◽

Information Technology ◽

Cross Section ◽

Positive Relationship ◽

Work From Home ◽

It Employees ◽

It Leadership

The study covers aspects of leadership trust among the information technology (IT) employees in India, with the help of data collected from a cross section of 205 IT employees. The article has assessed leadership trust factor from the employee’s (workforce) perspective with COVID19 pandemic and work-from-home situation. The outcome of data establishes a positive relationship between leadership trust and factors such as communication, decision-making, integrity, and motivation. The study also suggests that the IT sector and its leadership have created a positive trust among the employees during the COVID-19 work-from-home scenario. Findings suggest that in areas like integrity and making decisions quickly, the IT leadership has exhibited high trust levels, while in some other areas like communication and keeping the employees motivated (inspired), there have been few minor gaps that require attention from the leadership, which could preclude the wilting of established trust between the leader and his employees.

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Achieving Global Competitive Human Resources in the Industrial Revolution

10.31219/osf.io/bq592 ◽

2021 ◽

Author(s):

Pang william panggantara

Keyword(s):

Decision Making ◽

Information Technology ◽

Human Resources ◽

Competitive Advantage ◽

Industrial Revolution ◽

Global Market ◽

Massive Transformation ◽

Business Decision ◽

Fourth Wave

Fourth wave of industrial revolution is marked by the use of information technology, artificial inteligence (A.I), and automatic engines. Competitive advantage has become a necessity for every business actor when they wants to competing in the global market. The current condition definitely encouraging the occurence of massive transformation at all business levels and units this condition happens because every business actor can enter from and any other countries markets easily. this condition making professionalism of every business actor is highly prioritized like many case in the business decision making and continous innovation.

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Framing Information Technology Governance in the Public Sector: Opportunities and Challenges

International Journal of Electronic Government Research ◽

10.4018/ijegr.2015100105 ◽

2015 ◽

Vol 11 (4) ◽

pp. 89-101 ◽

Cited By ~ 2

Author(s):

Khalifa Al-Farsi ◽

Ramzi EL Haddadeh

Keyword(s):

Decision Making ◽

Information Technology ◽

Public Sector ◽

It Governance ◽

Decision Makers ◽

The Public ◽

Technology Governance ◽

Support Organizations ◽

Information Technology Governance ◽

Decision Making Processes

Information technology governance is considered one of the innovative practices that can provide support for decision-makers. Interestingly, it has become increasingly a de facto for organizations in seeking to optimise their performance. In principle, information technology governance has emerged to support organizations in the integration of information technology (IT) infrastructures and the delivery of high-quality services. On the other hand, decision-making processes in public sector organisations can be multi-faceted and complex, and decision makers play an important role in implementing technology in the public sector. The aim of this paper is to shed some light on current opportunities and challenges that IT governance is experiencing in the context of public sector services. In this respect, this paper examines the factors influencing the decision-making process to fully appreciate IT governance. Furthermore, this study focuses on combining institutional and individual perspectives to explain how individuals can take decisions in response to institutional influences.

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Impact of Information Technology on Information Search Channel Selection for Consumers

Journal of Organizational and End User Computing ◽

10.4018/joeuc.2018070104 ◽

2018 ◽

Vol 30 (3) ◽

pp. 63-80 ◽

Cited By ~ 12

Author(s):

Gaurav Khatwani ◽

Praveen Ranjan Srivastava

Keyword(s):

Decision Making ◽

Information Technology ◽

Digital Media ◽

Information Search ◽

Decision Process ◽

Consumer Preferences ◽

Fuzzy Ahp ◽

Target Market ◽

Information Channels ◽

Search For Information

As information technology has evolved, digital media has become increasingly fragmented and has started to proliferate multiple information channels. In order to optimize on the various digital channels that are available, organizations are increasingly recognizing the importance of gaining solid insights into consumer behavior and preferences that can be translated into marketing strategies. Specifically, they are keen to identify which information channels they can use to effectively reach and communicate with their target market. In this regard, this paper describes how multi criteria decision making can be used to develop a new method of decision making that will enable an effective and systematic decision process of fuzzy AHP and TOPSIS. Further, these techniques can be used for the developing framework for identifying consumer preferences. This paper provides a demonstration of the underpinning working methodology of the proposed model by examining an real case that is based on the decision process Internet users employ during their online search for information.

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Strengthening the Capacity on Geospatial Information Technology and Earth Observation Applications

Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region ◽

10.1007/978-3-030-73569-2_14 ◽

2021 ◽

pp. 269-289

Author(s):

Rajesh Bahadur Thapa ◽

Poonam Tripathi ◽

Mir A. Matin ◽

Birendra Bajracharya ◽

Betzy E. Hernandez Sandoval

Keyword(s):

Decision Making ◽

Information Technology ◽

Carbon Balance ◽

Anthropogenic Impacts ◽

Earth Observation ◽

Forest Monitoring ◽

Biomass Estimation ◽

Geospatial Information ◽

Significant Opportunity ◽

Support Decision Making

AbstractThe innovative transformation in geospatial information technology (GIT) and Earth observation (EO) data provides a significant opportunity to study the Earth’s environment and enables an advanced understanding of natural and anthropogenic impacts on ecosystems at the local, regional, and global levels (Thapa et al. in Carbon Balance Manag 10(23):1–13, 2015; Flores et al. in SAR handbook: comprehensive methodologies for forest monitoring and biomass estimation. NASA Publication, 2019; Leibrand et al. in Front Environ Sci 7:123, 2019; Chap. 10.1007/978-3-030-73569-2_1). The major advantages of these technologies can be briefly categorized into five broad areas: multidisciplinary; innovative and emerging; providing platforms for analysis, modelling, and visualization; capability to support decision-making; and impact on policies.

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Characterizing Big Data Management

10.28945/2192 ◽

2015 ◽

Author(s):

Rogério Rossi ◽

Kechi Hirama

Keyword(s):

Decision Making ◽

Information Technology ◽

Big Data ◽

Data Management ◽

Process Management ◽

Three Dimensions ◽

Storage And Retrieval ◽

Human Aspects ◽

Business Approach ◽

Support Decision Making

[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] Considering that big data is a reality for an increasing number of organizations in many areas, its management represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial dimensions to facilitate the management of big data in any organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management must be supported by technology, people and processes; hence, this article discusses these three dimensions: the technologies for storage, analysis and visualization of big data; the human aspects of big data; and, in addition, the process management involved in a technological and business approach for big data management.

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