Factors Influencing the Performance of Humanitarian Operations · Factors Influencing the...
Transcript of Factors Influencing the Performance of Humanitarian Operations · Factors Influencing the...
Factors Influencing the Performance of Humanitarian Operations
Shiyam Sundar.T.1, Suresh M.
2 and Raghu Raman R.
3
Amrita School of Business, Coimbatore
Amrita Vishwa Vidyapeetham, India 1e-mail: [email protected];
2e-mail: [email protected]; [email protected]
3e-mail: [email protected]
Abstract
The paper describes in the core, the essential framework to be meaningfully utilized in
humanitarian operations by providing a framework for analyzing „performance measure factors‟
in such domain. The performance indicators are identified for humanitarian operations for cart
festivals in India. In this paper, Interpretive Structural Modeling (ISM) approach used to analyze
the interrelationship among the factors. The driving and dependence power were found for each
factors through this approach. This is the first kind of study that provides performance measure
factors in humanitarian operations for cart festivals. The proposed framework enhances co-
ordination in planning of humanitarian operations. The framework will help the event organizers
in taking critical decisions, improving their performance by providing accountability, and in
measuring their operational performance during festival seasons.
Keywords: performance factors; humanitarian operations; humanitarian value chain; interpretive
structural modeling
1. Introduction
Many Indians are deeply rooted in spirituality and they visit temples regularly for their relief of
stress, mental pressure and also to get positive vibrations day for relief of stress and mental
pressure mind. The Indian culture tells that there is a strong vibration force inside the temples
especially during special occasions. Hence the population gathering during the special occasions
is uncontrollable and because of which chaos and stampede occurs. Examples of such occasions
are the “Vaikunta Ekadhesi” gathering at Tirupathi temple, “Kumbhmela” gathering at
Allahabad. To control this population, a framework for a large humanitarian supply chain is
required. In this paper, the objective is to develop a framework for performance factors‟ analyses
for humanitarian operations. The occasions account to varying amounts of human and economic
loss. Economic damages can be recovered in a period of time, but loss of humans cannot be
recovered and controlling these losses is one of the important indicators of the performance of
governments and the institutions involved in the humanitarian supply chain systems. Supply
chain involved in this is very complex and dynamic in nature and it is very difficult to measure
the performance that is involved in the humanitarian supply chain in those occasions. In this
paper, a detailed literature review on operations performance is given and a framework is
provided for analyzing the performance factors for a special occasion temple car festival
happening in India.
International Journal of Pure and Applied MathematicsVolume 119 No. 7 2018, 107-125ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version)url: http://www.ijpam.euSpecial Issue ijpam.eu
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2. Literature Review
The literature review is in two folds; first one is performance characteristics in humanitarian
operations and the next one is ISM approach.
2.1 Literature review on performance in operations management
Beamon and Balcik (2008) refers that performance is related to efficiency and effectiveness
which are the key terms for comparison characteristics like revenue sources, goals, stakeholders
and performance measurement. They have done a comparative study of performance
measurement of humanitarian supply chain and commercial supply chain and they have also
developed a framework which helps in performance measurement system in the relief sector. The
comparison is done between the reliefs oriented NGO, which is a non-profit organization, and
the profit organization, which is a commercial organization. Beamon and Balcik (2008) discuss
that performance in humanitarian supply chain is measured in terms of efficiency and efficiency
is dependent on financial and non-financial factors. The financial factors are resources, deviation
from project budget and the non-financial factors are human resource, volunteer hours, actual
project time vs. planned, number of people participated, number of people served.
According to Gunasekaran and Kobu (2007), a performance measurement system will help by
providing the necessary information for taking any decision. And hence it is necessary to
measure the right things and also the time of the measurement should be right in a supply chain.
This will help the organization to evaluate the improvement in terms of effectiveness and
efficiency. Schulz and Blecken (2010) mention that no monitoring or reporting of the indicators
of performance measurement are done by humanitarian organizations and this accounts to nearly
55 percent, out of which only 25 percent of organizations use only some indicators and out of
that 25 percent only 20 percent are measuring the performance consistently. According to
Gunasekaran and Kobu, (2007), a fundamental necessary tool to improve the operations is the
performance evaluation and also by making the communication between supply chains factors
simplified; this in turn increases the transparency among the supply chain processes and also
logistics processes. According to Haavisto and Goentzel (2015), the donors‟ desire and the
humanitarian organization to be in line with humanitarian activities is necessary to improve the
transparency of operations and also for proper accountability. According to Adams et al. (2004),
companies which outperform in applying the performance management will be of very high
efficiency and effective in the humanitarian supply chain. According to Neely et al. (1995) the
performance measurement is defined as the quality of the process high efficient operation. And
with the help of a set of performance indicators the goals of an organization or a firm is
quantified and it becomes the operational efficiency and effectiveness.
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Santarelli et al. (2015) discuss the standardization of procedures likes how to deliver and
distribute goods, how to make use of the hygiene kits which can accelerate and improve the
resolution of the disaster. The financial donations and especially the people who get benefited
from the event are the important stakeholders for the organizations which do not expect profits.
These kinds of humanitarian organizations should act in a way that will benefit both the donors
and public, thereby with utmost care they should strive to do the best for the people who get
benefited.
According to Haavisto and Goentzel (2015), the continuity and effectiveness of the program are
directly supported by the service and the supplies quality. A high-quality supply of goods which
can be either durable or perishable material is enhanced by the existence of lifelong outcome that
program gives and also the ability to reach the local community through the program.
According to Goldman (1995), ability to create new measures and methods to improve the event
control is based on innovation and this is dependent on creativity, not for profit organization.
Knowledge of volunteers and experience are the necessary factors for a supply chain to be
effective. Thus, educating the workforce is necessary for continuous improvement which would
lead to future success. According to Beamon and Balcik (2008), the foundations of performance
are identified as resources, output, and flexibility.
2.2 Literature review on ISM
The ISM approach is used to identify the relationship between variables, and this approach is
applied in various areas by many researchers. The main objective of the ISM is to identify and
rank the variable and then establish the interrelation among the variables.
Saleeshya et al.(2012) developed framework for agility assessment in supply chain network using
ISM with analytic hierarchy process. Singh and Sushil (2013) discussed the ISM as a tool of
communication in which set of independent and dependent variables are structured into a
comprehensive model. They applied ISM for analyzing TQM factors of airlines‟ performance
measure. Dubey and Ali (2014) used total ISM model and fuzzy MICMAC analysis to identify
the flexible manufacturing system dimensions and its interrelationships. Ambika Devi Amma et
al. (2015) used ISM for analysing major threads of cloud computing. Sarkar and Panchal (2015)
applied ISM with fuzzy approach to identify the inter relationships in the considered risk
components to adopt risk planning and mitigation measures for port construction project. Vinod
et al. (2015) used ISM model to analyze the factors influencing integrated lean sustainable
system. Sudharsan and Suresh (2016) used ISM methodology to analyze the complex
relationships among the purchase factors of solar lantern by street vendors. Venkatesh and
Suresh (2016) applied ISM approach for analyzing tourism promotion factors through social
media. Shibin et al. (2016) studied the variables and the barriers for the flexible green supply
chain management using ISM. The factor which influences the lean remanufacturing practices
was analyzed through ISM approach by Vasanthakumar et al. (2016). Patri and Suresh (2017a)
used ISM model to analyze the factors influencing lean implementation in healthcare
organizations. The ISM method consists of three important phases: identification and comparison
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of variables, analysis of those variables and MICMAC analysis of the results. Patri and Suresh
(2017b) used Total ISM for analysing agile factors in healthcare organisation.
After going through the relevant literature, we observed that none of the studies has discussed the
interrelationships among the performance factors in humanitarian operations like cart festivals.
This laid the motivation behind the study and translated into the following three research
questions:
RQ1: How to analyze the performance factors in humanitarian operations in the context of
temple cart festivals that happen in India.
RQ2: How do these factors affect one another?
RQ3: Can these factors be ranked?
3. Methodology
A survey has been conducted among 15 different organizers who are in the field of organizing
the spiritual events for many years in various temples in and around Coimbatore, India. These
organizers have a key role in implementing various changes and improvements for the events
every year. This survey has been conducted as one on one interview with those experts and the
relationship between these factors has been identified.
An ISM approach is being used to develop a framework for factor analysis of humanitarian
operations for festivals. The ISM approach and its solutions are separately discussed in the
following sections.
ISM approach
ISM approach is an interactive learning process and a structural model. ISM interprets the
relationship between the factors and its interactions among all factors. ISM provides hierarchical
level of factors which are directly related to the ranking of those factors. . The ISM approach is
applied in various complex structures of problems.
Following steps are involved in ISM approach:
(1).Factors‟ identification
(2).Deriving of self structured interaction matrix
(3).Development of initial reachability matrix
(4).Development of final reachability matrix
(5).Partition of the final reachability matrix
(6).Framing of directed graph (Di-graph) & ISM model
Solution approach
The following steps are used to depict our modeling procedures (Patri and Suresh, 2017a):
1. Identification of factors is done through expert interview and literature survey. Table 1 depicts
the identified performance factors for humanitarian operations in the context of temple cart
festival.
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2. Self structured interaction matrix: Deriving a contextual relationship between the pair of
factors, which are mentioned below:
V: i reaches/alters j
A: j reaches/alters i
X: i and j reaches/alters each other
O: i and j are unrelated
The pair wise comparisons of factors are captured from 15 experts‟ opinions from cart festival
event organizers. The highest mode of opinion is selected from the all experts‟ opinions. The
Self Structured Interaction Matrix (SSIM) derived from mode of opinions of each pairs is
depicted in Table 2.
3. Initial reachability matrix: The development of initial reachability matrix from SSIM and
the conversion steps are mentioned below:
From SSIM (i,j) entry V A X O
To initial reachability matrix (i,j) entry 1 0 1 0
To initial reachability matrix (j,i) entry 0 1 1 0
The initial reachability matrix for performance factors of humanitarian operations is shown in
Table 3.
4. Final reachability matrix: Development of final reachability matrix from initial reachability
matrix through transitivity analysis is as follows:
First level transitivity (for 1*): if G=H; H=I; then G=I
Second level transitivity (for 1**): if G=H; H=I; I=J then G=J
Third level transitivity (for 1***): if G=H; H=I; I=J; J=K then G=K
Fourth level transitivity (for 1****): if G=H; H=I; I=J; J=K; K=L then G=L
Fifth level transitivity (for 1*****): if G=H; H=I; I=J; J=K; K=L; L=M then G=M
The final reachability matrix is shown in Table 4.
5. Partition of the final reachability matrix: Partitions of reachability matrix are mainly based
on the three sets, i.e. reachability set, antecedent set and intersection set. The row elements of
final reachability matrix are present in the reachability set and the column elements of final
reachability matrix are present in the antecedent set. The common elements are present in the
intersection set. Itration-1, the intersection elements are present only in the reachability set, the
enablers are removed from that set and designated as level-1 factors. Then in the next iteration,
the repeated process is continued until all the factors are removed from the set. At end of this
process we get partitioned reachability matrix in two different levels and it is depicted in Table 5,
6, 7 and 8.
6. Digraph Creation: Digraph is created using information from final reachability matrix and
level partitions. In digraph, factors are placed in ascending order i.e. first level factor at the top of
the digraph and second level factor at second position and so on until the last level factor at the
lowest level in the digraph. The ISM model is depicted in Figure 1.
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Table 1. Identified performance factors for humanitarian operations
S.
No Enablers Definition Factors
Reference/
Experts‟ Opinion
1 Efficiency
The ability to utilize and maintain
the financial and the non-financial
resources within the planned
costs, Time and on-time delivery
of service.
Financial Factors:–
Financial Resources(F1) Abidi et.al (2014)
Non-Financial Factors:
Human resources(F2);
Volunteer hours(F3); No.
of people served(F4)
Gunasekaran and
Kobu (2007)
2 Quality Doing the things rightly and at
right time.
Service level(F5): Ability
to satisfy the
beneficiaries
Abidi et al. (2013)
Quality of goods(F6):
Ability to deliver goods
with desired quality
Abidi et al. (2013)
3
Innovation
Ability to create new measures
and methods to improve the event
controlling
Creativity(F7) Abidi et al. (2013)
Not for profit
organization (F8) Abidi et al. (2013)
Knowledge of
volunteers(F9) Abidi et al. (2013)
4 Preparedness
Developing the skills to control
the crowd, overcome linguistic
barrier, providing emergency aids
and contextual differences.
Multi skilled and flexible
people (F10)
Beamon and
Balcik (2008)
5 Satisfaction
This is a qualitative index,
measuring the difference between
how effectively the financial,
energy and food resources are
planned and utilized.
Donors‟ satisfaction(F11) Abidi et al. (2013)
Volunteers‟
satisfaction(F12) Abidi et al. (2013)
Table 2. SSIM for performance factors for humanitarian operations
F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12
F1 1 O O O O V O V O O X O
F2 1 A V V O O V O A O A
F3 1 V O O O V O A O A
F4 1 V O O O O X O O
F5 1 O A A A A A A
F6 1 O V A O O O
F7 1 O V O O A
F8 1 O O X A
F9 1 V O V
F10 1 O O
F11 1 O
F12 1
Table 3 Initial reachability matrix
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Table 4 Final reachability matrix
Table 5 Iteration -1 of level partition of factors
Factors Reachability Set Antecedent Set Intersection Set Level
1 1, 5, 6, 8, 11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11
2 1, 2,3,4,5,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
3 1, 2,3,4,5,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
4 1, 2,3,4,5,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
5 5 1, 2,3,4,5,6,7,8,9,10,11,12 5 I
6 1, 5,6,8,11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11
7 1, 2,3,4,5,6,7,8,9,10,11,12 7,9,12 7,9,12
8 1,5,6,8,11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11
9 1, 2,3,4,5,6,7,8,9,10,11,12 7,9,12 7,9,12
10 1, 2,3,4,5,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
11 1,5,6,8,11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11
12 1, 2,3,4,5,6,7,8,9,10,11,12 7,9,12 7,9,12
Table 6 Iteration -2 of level partition of factors
Factors Reachability Set Antecedent Set Intersection Set Level
1 1, 6, 8, 11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11 II
F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12
F1 1 0 0 0 0 1 0 1 0 0 1 0
F2 0 1 0 1 1 0 0 1 0 0 0 0
F3 0 1 1 1 0 0 0 1 0 0 0 0
F4 0 0 0 1 1 0 0 0 0 1 0 0
F5 0 0 0 0 1 0 0 0 0 0 0 0
F6 0 0 0 0 0 1 0 1 0 0 0 0
F7 0 0 0 0 1 0 1 0 1 0 0 0
F8 0 0 0 0 1 0 0 1 0 0 1 0
F9 0 0 0 0 1 1 0 0 1 1 0 1
F10 0 1 1 1 1 0 0 0 0 1 0 0
F11 1 0 0 0 1 0 0 1 0 0 1 0
F12 0 1 1 0 1 0 1 1 0 0 0 1
F1 F2 F3 F4 F5 F6 F7 F8 F9 F10 F11 F12
F1 1 0 0 0 1* 1 0 1 0 0 1 0
F2 1** 1 1** 1 1 1*** 0 1 0 1* 1* 0
F3 1** 1 1 1 1* 1*** 0 1 0 1* 1* 0
F4 1**** 1* 1* 1 1 1***** 0 1** 0 1 1*** 0
F5 0 0 0 0 1 0 0 0 0 0 0 0
F6 1** 0 0 0 1* 1 0 1 0 0 1* 0
F7 1**** 1** 1** 1** 1 1* 1 1** 1 1* 1*** 1*
F8 1* 0 0 0 1 1** 0 1 0 0 1 0
F9 1*** 1* 1* 1* 1 1 1* 1* 1 1 1** 1
F10 1*** 1 1 1 1 1**** 0 1* 0 1 1** 0
F11 1 0 0 1 1* 0 1 0 0 1 0
F12 1** 1 1 1* 1 1** 1 1 1* 1** 1* 1
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2 1, 2,3,4,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
3 1, 2,3,4,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
4 1, 2,3,4,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
6 1,6,8,11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11 II
7 1, 2,3,4,6,7,8,9,10,11,12 7,9,12 7,9,12
8 1,6,8,11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11 II
9 1, 2,3,4,6,7,8,9,10,11,12 7,9,12 7,9,12
10 1, 2,3,4,6,8,10,11 2,3,4,7,9,10,12 2,3,4,10
11 1,6,8,11 1, 2,3,4,6,7,8,9,10,11,12 1,6,8,11 II
12 1, 2,3,4,6,7,8,9,10,11,12 7,9,12 7,9,12
Table 7 Iteration -3 of level partition of factors
Factors Reachability Set Antecedent Set Intersection Set Level
2 2,3,4,10 2,3,4,7,9,10,12 2,3,4,10 III
3 2,3,4,10 2,3,4,7,9,10,12 2,3,4,10 III
4 2,3,4,10 2,3,4,7,9,10,12 2,3,4,10 III
7 2,3,4,7,9,10,12 7,9,12 7,9,12
9 2,3,4,7,9,10,12 7,9,12 7,9,12
10 2,3,4,10 2,3,4,7,9,10,12 2,3,4,10 III
12 2,3,4,7,9,10,12 7,9,12 7,9,12
Table 8 Iteration -4 of level partition of factors
Factors Reachability Set Antecedent Set Intersection Set Level
7 7,9,12 7,9,12 7,9,12 IV
9 7,9,12 7,9,12 7,9,12 IV
12 7,9,12 7,9,12 7,9,12 IV
4. Results and discussions
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Fig.1 ISM model for performance factors of humanitarian operations
Level IV factors
Factors creativity, knowledge of volunteers and volunteer satisfaction respectively lie in this
level and they are interdependent on each other. Without creativity there is no support for
knowledge of volunteers, volunteer satisfaction. During the event knowledge of volunteers
gained through prior experience will help in improving the creativity of the event. Similarly
other volunteers in the event gets the knowledge sharing from one another and this makes them
motivated to develop the creativity in work. Factor volunteer satisfaction has a direct influence
with the factor volunteer hours. Number of volunteers participating and the volunteer hours are
inversely proportional to each other, hence higher the number of volunteers participating in the
event, lower the number of hours volunteer spend and this in turn improves the satisfaction level
of volunteers. The factor creativity has an impact on the following factors human resource,
volunteer hours, number of people served, service level, knowledge of volunteers, multi-skilled
and flexible people, and volunteer satisfaction. As the creativity in work changes it affects the
human resource in a way that work is done more efficiently by some creative methods with
available human resources. Creativity in work reduces the number of hours volunteers spend as
the work gets completed sooner. Similarly the number of people served gets increased since
creativity increases the level of efficiency which helps the volunteers to serve more people and
this ultimately increases the service level. Creativity in doing work improves the knowledge of
volunteers since they learn how to do things in new and a better way and there will be
communication among the volunteer, which improves the volunteers level of multi-skill and
flexibility. The next factor volunteer satisfaction directly affect the factors human resource,
volunteer hours, number of people served, service level, creativity, not for profit organization,
knowledge of volunteers, multi-skilled and flexibility. Volunteers are the main source of the
work in humanitarian operations, when the volunteering activity increases, the human resources
utilized for the work increases and hence the volunteer hours get reduced and this gives a higher
volunteer satisfaction level. If there is higher volunteer satisfaction the number of people served
1 8 11
5
6
2 3 10 4
7 9 12
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increases and also the service level increases because there many volunteers come forward to
work and do service to the people who are attending the event. Since there is better
communication between the volunteers there are possibilities that the knowledge of volunteers
increases by sharing and this becomes a benefit for the not for profit organization because
creativity increases as knowledge sharing among volunteers happen. Next factor knowledge of
volunteers has an impact on the following factors human resource, volunteer hours, number of
people served, service level, quality of goods, creativity, multi-skilled people and flexibility and
volunteer satisfaction. As the volunteers have better knowledge the requirement of human
resource and volunteer hours gets reduced because they optimize the work and complete in easier
way. This also increases the number of people served and service level since there is a better
knowledge among the volunteers how to lead the work in an efficient manner. The quality of the
goods served and creativity also increases volunteers have better knowledge about their work.
This knowledge of the volunteers helps them to develop the level of multi-skills and flexibility
and also volunteer satisfaction improves.
Level III factors
The factors that lie in this level are human resource, volunteer hours, number of people served,
multi-skilled and flexible people. When we look at these factors all are related to the human
relations and hence they are interdependent. Here human resource represents the total number of
people participating in the volunteering activity, so the volunteer hours of each individual
changes with respect to the human resource. Similarly if the number of volunteer hours increases
and number of volunteering people is also high this means more number of people can be served
at any time. Now where does the multi-skilled and flexible people come in is that they help in
completing the volunteering work in a smarter way. The factor human resource directly affects
financial resources, volunteer hours; number of people served, service level, quality of good, not
for profit organization, multi-skilled and flexibility, donor satisfaction. Human resources if
increases, the amount of money that flow into the not for profit organization increases and hence
financial resources increases. The volunteer hours and human resource are inversely
proportional, if human resources are high, volunteering hours gets reduced and if human
resources are low, volunteering hours gets increased. If the human resource is high the number of
people served increases because there are many numbers of volunteers available to take care of
the event. There will be high level of service and quality of goods because there is high number
of human resource which makes it easier to prepare and take care of the goods to be served. The
not for profit organization gets benefitted if there is high number of human resource because the
quality of work gets higher. The sharing of information allows sharing of knowledge among the
volunteers and this improves the skills and flexibility of the volunteers. The level of human
resource builds a trust among the donors and this helps to bring in more number of donors for the
organization and increases the donor satisfaction. Next factor volunteer hours which have direct
effect on financial resource, human resources, and number of people served, service level,
quality of good served, not for profit organization, multi-skilled people and flexibility, donors. If
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volunteer hours are higher the amount of quality service rendered is high and this helps the
organization to improve its financial resources as it brings in more donors because of the quality.
If volunteers work for more hours the number of human resource required is less. If the volunteer
hours are high more people can be served and hence the service level also increases since
volunteers spend more time on each people and event. The quality of goods served also gets
better because of the volunteer hours is higher. The not for profit organization gets a recognition
among the public because of the volunteer hours being high. Since they work for long hours they
tend to develop multiple skills and learn how to be flexible and because of this quality, donor
satisfaction is also there as they get a feeling that their donation has helped someone in some
way. Next factor number of people served directly impacts on financial resources, human
resources, volunteer hours, service level, quality of good, not for profit organization, multi-
skilled and flexibility, donor satisfaction. For any organization it has to be financially strong to
perform well, so if number of people served is higher the revenue for the organization from the
public will be higher. If more number of people has to be served then more number of human
resources is required and volunteers have to work for longer hours hence the volunteer hour‟s
increases with high number of people. Service level also increases if many numbers of people are
served but quality of food is a critical factor here, because of higher number of people being
served the quality varies since catering to huge crowd becomes a difficult task. The not for profit
organization functions has to be very strong in its operations to serve that number of people. The
skill level and the flexibility of the volunteers gets developed with the increase in number of
people being served and automatically attract many donors into the organization. Next factor
multi-skilled people and flexibility has direct impact on financial resources, human resources,
volunteer hours, number of people served, service level, quality of food, not for profit
organization, donors. If the skill and flexibility level of the volunteers are high the work gets
done efficiently and this helps the organization to bring in more financial resources and since
work gets done efficiently the human resource required is will be least. Volunteer hours will get
reduced because the skill and flexibility level of the volunteers are high and this also helps in
serving many number of people. Because of the flexibility of the volunteers they can provide
service differently for each customer which improves the service level of the organization. Skill
is main factor to do work efficiently and this helps to produce high quality goods which benefit
to the not for profit organization and brings in many number of donors.
Level II factors
The factors lies in this level are financial resources, quality of goods, not for profit organization,
donor satisfaction. If there is enough financial resources for the not for profit organization then
the quality of goods served to the public during the event will be of higher standards, hence
financial resources factor and other three factors as interdependent. Donor satisfaction too has an
impact on not for profit organization because the number and the value of donations the
organization receives are used as an initial fund for the event. All these factors have an impact on
the quality of the event being conducted. The factor financial resources have direct impact on
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following factors service level, quality of good, not for profit organization, donors. Financial
resources is an important factor for any organization and if it is strong then the organization can
perform well and provide better service level, since it can spend much money and the
organization can also buy high quality goods to serve. If there is more money flowing into the
organization it is good for not for profit organization since it can spend more money for the
welfare activities. But this finance come from donors and hence more financial resource means
more donor satisfaction which yields more number of donors to donate in terms of money. Next
factor quality of goods has a direct impact on the following factors financial resources, service
level, not for profit organization, donor satisfaction. If the quality of goods served in the event is
higher it helps the organization to bring in more money and also the service rendered to the
people participating in the event gets to higher level. The efficiency of a not for organization is
judged by the quality of good served and also many donors come in only when the organization
has better brand name. Next factor not for profit organization has direct impact on the following
factors like financial resources, service level, quality of goods served, and donor satisfaction. If
the not for profit organization has a brand name then the financial resource will automatically
flow and hence the service rendered will be at higher level because of the reputation the not for
profit organization has gained over the years. If the not for profit organization is of poor quality
the quality of goods served will also be of poor quality and hence donor satisfaction will be low
hence donors will not turn up to donate in any form. Next factor donor satisfaction have direct
impact on the financial resources, service level, quality of good, not for profit organization.
Donors and their satisfaction are the backbone of humanitarian activities in spiritual events and
they are the ones who bring in more money into the organization and hence if there is higher
satisfaction, more number of donors turn up and hence the amount of money coming into the
organization will be higher. At times donors also participate in volunteering events and since
they care for the organization they try to provide a service at a higher level and ultimately this
helps in increasing the service level of the organization. Donors at times provide food prepared
by them to the volunteers and to the people who participate in the event and hence the quality of
good served in the event is higher. Donors donate many resources in many forms and this
increases the brand image of the not for profit organization.
Level I factors
The factor service level tops the factors list; this indicates that service level is the most crucial
factor influencing the measure of performance in humanitarian activities. This factor service
level has the direct relation with the objective of the factor and this does not have direct impact
on any other factor.
5. MICMAC Analysis
MICMAC analysis is the development of a graph and a MICMAC rank to classify the identified
factors based on their driving power and dependence power. In this MICMAC analysis, the
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118
variables involved in the study are classified broadly into four categories and shown in Table 9
and corresponding MICMAC graph is presented in figure 2.
Table 9. MICMAC analysis of performance factors for humanitarian operations
Zones Measures Meaning Factors
Zone-I Autonomous Factors
Weak driving power and weak dependence
power Nil
Zone-II
Dependent/ Dominated
Factors
Weak driving power and strong dependence
power
F1, F5, F6,
F8, F11
Zone-III Linkage Factors
Strong driving power and strong dependence
power
F2, F3, F4,
F10
Zone-IV Independent Factors
Strong driving power and weak dependence
power
F7, F9, F12
. Zone -IV Zone –III
Driv
ing
Po
wer
12 F7,F9,
F12
11
10
9 F2,F3,
F4,F10
8
7
6
5 F1,F6,
F8,F11
4
3
2
1 F5 1 2 3 4 5 6 7 8 9 10 11 12
Zone -I Zone –II
Dependence Power
Fig 2.MICMAC graph
Table 10 represents the MICMAC rank of the study where Rank 1 corresponds to the most
crucial enabler and Rank 4 corresponds to the least important enabler among all.
Table 10. MICMAC analysis rank of performance factors Factor Driving
power
Dependence
power
Driving power /
Dependence power
MICMAC
rank
F1 5 11 0.454 3
F2 9 7 1.285 2
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119
F3 9 7 1.285 2
F4 9 7 1.285 2
F5 1 12 0.083 4
F6 5 11 0.454 3
F7 12 3 4 1
F8 5 11 0.454 3
F9 12 3 4 1
F10 9 7 1.285 2
F11 5 11 0.454 3
F12 12 3 4 1
Zone-I has no autonomous factors and they are having a weak driving power and weak
dependence power. Zone-II are the dependent or dominated factors, financial resources, service
level, quality of goods, not for profit organization, donor satisfaction lie in this zone. These
factors have weak driving force but strong dependence forces and all these factors are
interdependent. Zone-III are the linkage factors, human resources, volunteer hours, number of
people served, multi-skilled and flexible people fall under this zone. The factors in this zone
have strong driving and strong dependence power. In zone-IV there are factors such as creativity,
knowledge of volunteers, volunteer satisfaction. The factors in this zone are called as
independent factors and they have strong driving power and weak dependence power.
Practical implications
This study helps the event organizers to provide practical guidance on how they can
proactively plan their festivals with the drastically increasing crowd. The holistic and
implementable performance factors analyzing framework could help to improve humanitarian
operations in cart festivals. The proposed framework enhances coordination in the planning of
humanitarian operations and can be applicable in the different festivals with customized factors
based on that scenario.
Conclusion
As measuring performance in humanitarian operations is important to improve the efficiency and
the quality of the operations, it is essential to adopt a well devised step by step procedure to
achieve it. This model helps in identifying the key factors that measure the performance of the
humanitarian operations in the spiritual events. This study takes into consideration twelve factors
for the ISM. At the end of the model we get the importance of each of the factors which will help
in the identification of the influence of each factor in measuring the performance of humanitarian
operations. This gives a direction to the event organisers with high humanitarian involvement in
their operations to concentrate on the essential factors for improvement. From the study it is
inferred that creativity, knowledge of volunteers, volunteers satisfactions are the most important
and crucial factor and it has to be given more importance to get the overall excellence.
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