IFSM 300: Strategic Use of Technology for MTC Hiring Process

This report, prepared for Maryland Technology Consultants (MTC), analyzes the strategic use of technology in its hiring process. As part of a Business Analysis and System Recommendation (BA&SR) report, the document examines MTC's organizational strategy, competitive advantages, and strategic objectives. It highlights the challenges of the current manual hiring process and proposes strategies to improve recruitment, including leveraging technology for candidate sourcing and data-driven decision-making. The report includes tables detailing strategic goals, objectives, and how an information system can support decision-making at various levels within the organization. Ultimately, the report recommends implementing an IT solution to enhance MTC's ability to attract and retain skilled IT consultants, thereby strengthening its competitive position in the market and helping the organization achieve its goals.

Maryland Technology Consultants, Inc.
STRATEGIC USE OF TECHNOLOGY
Name of Student
Name of University
Author’s Note
Date

1STRATEGIC USE OF TECHNOLOGY
Introduction
Business Analysis and System Recommendation (BA&SR) is a process which is
carried out in order to analyze the business processes of an organization and then recommend
solutions for the organization which would help them in carrying out their processes in an
effective manner (Anthony, Shih & Jin, 2016). As a Chief Information Officer, the BA&SR had
to be carried out for the organization. At first the strategic usage of technology has been
describes, it further supports the decision making process of the organization. The stage 2
consists of a process analysis; here the current processes as well as workflow are evaluated. The
next stage explains the requirements, in this stage the main expectations of stakeholders are
identified and system recommendations are provided.
I. Strategic use of technology
A. Organizational Strategy: the main organizational strategy of Maryland
Technology Consultants, Inc. is to provide consulting services; it also
provides various suggestions to its customers by hiring consultants who
are highly skilled (Conforti, de Leoni & La Rosa, 2015). They also aim in
developing new best practices and business concepts. The present manual
hiring process of Maryland Technology Consultants, Inc. faces some
problems; these include the time consumed by the manual recruitment
process. The present recruitment process of Maryland Technology
Consultants, Inc. would not allow the organization to meet its recruitment
goals. Improving the hiring process would reduce the time consumed by it
and would also help the organization in achieving its organizational goals
as well as hiring goals (Chen, 2018). The organization must choose some

2STRATEGIC USE OF TECHNOLOGY
strategies that would help them to recruit people who have skills or
knowledge regarding consultancy.
B. Competitive Advantage: the Maryland Technology Consultants, Inc.
usually concentrates on quality as well as expertise of the employees. It
works through competitively bidding on various requests for proposals
issued by the business, non-profit organizations and government
organizations (Jiang & Shang, 2017). It also grows its business with the
help of referrals as well as follows on contracts from the satisfied clients.
The strategy of candidate sourcing innovations must be utilized by
the organization in order to obtain various advantages, recruiting with the
use of alternative sites where the organization expects to get target
employees. The organization would be receiving application from
interested candidates from different platforms including social media.
Raiding talent competitors would help the organization to save resources
as well as time spent in providing training to the employees (Ferreira,
Junior & Rosa, 2017). Referral can also be considered, this would help the
organization to reduce enough amount of time invested in the recruitment
process. These strategies would help Maryland Technology Consultants,
Inc. to gain a competitive advantage in the market. The data received from
the hiring system can be utilized for strategic advantage. The data would
help the company to change the structure of industry and provide new
ways to outperform their rivals. It would also spawn the entire business
from the existing operations of the company.

3STRATEGIC USE OF TECHNOLOGY
C. Strategic Objectives: The organization would be able to gain advantage
from the hiring process in recruiting. The table provided below mentions
the goals of the organization and the objectives that would aim in meeting
the organizational goals with the help of new hiring process. At last the
table provides proper explanation on the objectives.
Strategic Goal Objective Explanation
Increasing their
business development with
the help of winning new
contracts around the areas
of IT consulting
Improve its development in
business with the help of hiring
talented people who already have
knowledge on their business field.
Hiring people who
are already talented would
be helpful for the company
because it would save
resources as well as time
invested in training.
Building a cadre of
consultants internationally
that would provide them
remote research as well as
analysis support to the
onsite teams of the
organization.
Recruiting consultants who
are located internationally.
Recruitment of
consultants that are located
internationally would help
the company to think
widely regarding fulfilling
the demands of the clients;
it would also help them to
spread their business
globally.
Increasing their
ability to provide great
quality consultants to
award specific contracts in
order to serve the needs of
clients.
Talented employees would
help the organization to fulfill its
third objective and help the
organization to meet the client’s
needs and demands.
Talented employees
would help the
organization by providing
more innovative and better
strategies on their business.
Increasing the
competitive advantage in
the market of IT
consulting by increasing
the reputation for having
IT consultants that are
skilled in leading the edge
technologies as well as
innovative solutions for
clients.
Raiding the talent
competitors by offering more
facilities or wages.
Employees from
competitors can be
attracted by providing
better facilities; this would
help the company to get
talented and better
employees.
Table 1: Strategic goals
(Source: Chamoso, Rivas & Rodríguez, 2018, p. 123)

4STRATEGIC USE OF TECHNOLOGY
D. Decision making: the table provided below describes regarding how
information system helps in the process of decision making. The data
available or obtained from the hiring process and the candidates, there are
various roles that are to be performed, it mentions the levels of the roles,
an example of specific decision that is supported by the hiring system that
would be made at that level would also be mentioned (Arias, Munoz-
Gama & Sepúlveda, 2016). At last the type of data that has been received
from the hiring system would be required in order to support the decision.
Role Lev
el as
defined in
IS Course
Reading
Example of
Possible Decision
Supported by Hiring
System
Example of
Information the
Hiring System
Could Provide to
Support the
Example Decision
Senior/
Executive Managers
leve
l 3
CEO decides to
expand the services
provided by the
company.
The data
provided by the
recruitment process
regarding the
expertise of
employees.
Middle
Managers
leve
l 2
The Director of
HR decides how the
recruitment would be
carried out and the
selection of
candidates.
The data on
the number of
interested candidates
from different
platforms.
Operational
Managers
leve
l 2
The decisions
made by line managers
are regarding the
projects that would be
performed by new
employees.
This decision
depends on the data
obtained from the
skills of the
employees.
Table 2: Decision Making
(Source: Colomo-Palacios, García-Peñalvo & Stantchev, 2017, p. 98)

5STRATEGIC USE OF TECHNOLOGY
Conclusion
Business Analysis and System Recommendation is a process where the business
processes are analyzed and then various recommendations are provided that can be helped in
order to improve their business strategies along with increasing the effectiveness and efficiency
of the project. This assignment describes regarding the hiring process used by the consulting
organization named Maryland Technology Consultants, Inc. It also provides some
recommendations on new hiring method, these strategies can be used for recruiting new and
talented employees and improve the performance of the company.

6STRATEGIC USE OF TECHNOLOGY
References
Anthony, A., Shih, Y. K., Jin, R., & Xiang, Y. (2016, September). Leveraging a Graph-
Powered, Real-Time Recommendation Engine to Create Rapid Business Value.
In Proceedings of the 10th ACM Conference on Recommender Systems (pp. 385-
386). ACM.
Arias, M., Munoz-Gama, J., & Sepúlveda, M. (2016, September). A Multi-criteria
Approach for Team Recommendation. In International Conference on Business
Process Management (pp. 384-396). Springer, Cham.
Chamoso, P., Rivas, A., Rodríguez, S., & Bajo, J. (2018). Relationship recommender
system in a business and employment-oriented social network. Information
sciences, 433, 204-220.
Chen, H. (2018). Personalized recommendation system of e-commerce based on big data
analysis. Journal of Interdisciplinary Mathematics, 21(5), 1243-1247.
Colomo-Palacios, R., García-Peñalvo, F. J., Stantchev, V., & Misra, S. (2017). Towards a
social and context-aware mobile recommendation system for tourism. Pervasive
and Mobile Computing, 38, 505-515.
Conforti, R., de Leoni, M., La Rosa, M., van der Aalst, W. M., & ter Hofstede, A. H.
(2015). A recommendation system for predicting risks across multiple business
process instances. Decision Support Systems, 69, 1-19.
Ferreira, J. P. B., Junior, F. L., Rosa, R. L., & Rodríguez, D. Z. (2017, October).
Evaluation of Sentiment and Affectivity Analysis in a Blog Recommendation

7STRATEGIC USE OF TECHNOLOGY
System. In Proceedings of the XVI Brazilian Symposium on Human Factors in
Computing Systems (p. 25). ACM.
Jiang, D., & Shang, W. (2017, May). Design and implementation of recommendation
system of micro video. In 2017 IEEE/ACIS 16th International Conference on
Computer and Information Science (ICIS) (pp. 483-485). IEEE.