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ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS COPY RIGHT © 2014 Institute of Interdisciplinary Business Research 162 JANUARY 2014 VOL 5, NO 9 USING ACTIVITY-BASED COSTING TO MEASURE CUSTOMER PROFITABILITY: CUSTOMER-SPECIFIC SELLING AND MARKETING EXPENSES ANALYSIS "AN APPLICATION STUDY IN AN INDUSTRIAL COMPANY" DR. ABDUL AZIZ A. ABDUL RAHMAN DR. NOUR ALDEEN M. GHAFEER University of Philadelphia, Amman, Jordan Faculty of Administrative & financial sciences Accounting Department Abstract This study aims to determine the costs and profitability for a sample of customers in an industrial company by using activity based costing and compare the results with traditional costing data. We will analyze the Customer-Specific Selling and Marketing Expenses to achieve this purpose by determining the customer's costs, then to determine customer's profitability. To arrive at a reined measure of customer profitability, the researchers go to assign costs of four big customers by using philosophy of activity based costing in allocating overhead costs for the company's data of 2013. The results show that six variables, i.e. the product handling, order taking, delivery vehicles, rush deliveries, Annual tourist program for customers, and visits to customers influences on the profitability contributed by customers. Keywords: Customer profitability, Customer-specific Selling and marketing expenses, activity based costing, customer-level operating costs. Introduction: Most companies still use traditional methods to allocate overhead costs to products, services, channels, and customers. These companies use often one allocation base to allocate the plant-wide indirect costs by using machine hours, number of employees, direct labor hours as allocation bases to that cost objects. Furthermore, other companies also go to deduct many types of nonmanufacturing indirect costs from operating income such as, delivering finished goods to customers, advertising, order taking, visiting customers, and so on, which are very important to measure customer profitability. Activity based costing system helps companies to categorize costs related to customers into different cost pools on the basis of different types of cost drivers, or cost-allocation bases, which assist to determine costs related to each customer, and then will lead to compute the profitability for each customer also. The importance of the study: The importance of this study emerges from the fact that most of companies still use traditional methods to allocate overhead costs to customers which will lead to distort the customers profitability, and then to complicate distinguishing between profitable customers and unprofitable customers.

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INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS

COPY RIGHT © 2014 Institute of Interdisciplinary Business Research 162

JANUARY 2014

VOL 5, NO 9

USING ACTIVITY-BASED COSTING TO MEASURE

CUSTOMER PROFITABILITY: CUSTOMER-SPECIFIC

SELLING AND MARKETING EXPENSES ANALYSIS

"AN APPLICATION STUDY IN AN INDUSTRIAL

COMPANY"

DR. ABDUL AZIZ A. ABDUL RAHMAN

DR. NOUR ALDEEN M. GHAFEER

University of Philadelphia, Amman, Jordan

Faculty of Administrative & financial sciences

Accounting Department

Abstract This study aims to determine the costs and profitability for a sample of customers in

an industrial company by using activity based costing and compare the results with

traditional costing data. We will analyze the Customer-Specific Selling and Marketing

Expenses to achieve this purpose by determining the customer's costs, then to

determine customer's profitability.

To arrive at a reined measure of customer profitability, the researchers go to assign

costs of four big customers by using philosophy of activity based costing in allocating

overhead costs for the company's data of 2013.

The results show that six variables, i.e. the product handling, order taking, delivery

vehicles, rush deliveries, Annual tourist program for customers, and visits to

customers influences on the profitability contributed by customers.

Keywords: Customer profitability, Customer-specific Selling and marketing

expenses, activity based costing, customer-level operating costs.

Introduction: Most companies still use traditional methods to allocate overhead costs to products,

services, channels, and customers. These companies use often one allocation base to

allocate the plant-wide indirect costs by using machine hours, number of employees,

direct labor hours as allocation bases to that cost objects. Furthermore, other

companies also go to deduct many types of nonmanufacturing indirect costs from

operating income such as, delivering finished goods to customers, advertising, order

taking, visiting customers, and so on, which are very important to measure customer

profitability.

Activity based costing system helps companies to categorize costs related to

customers into different cost pools on the basis of different types of cost drivers, or

cost-allocation bases, which assist to determine costs related to each customer, and

then will lead to compute the profitability for each customer also.

The importance of the study: The importance of this study emerges from the fact that most of companies still use

traditional methods to allocate overhead costs to customers which will lead to distort

the customers profitability, and then to complicate distinguishing between profitable

customers and unprofitable customers.

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Analyzing Customer-Specific Selling and Marketing Expenses by using activity based

costing system, the company can improve its profitability by determine the

unprofitable customers, then try to eliminate them.

The objectives of the study: The researcher aims at fulfilling the following goals:

1. Determine the profitability for some customers by using activity based

costing system and traditional costing system.

2. Obtain a broad overview about the factors which effect with customers-

profitability.

3. Make procedures assist to determine profitable customers and focusing them,

and determine losable customers and work to improve its profitability.

The problem of the study: From the previous points, the problem of the study can be summed up as follows:

1. Is there a difference between the cost of each customer by using the two

systems; activity based costing and traditional costing system?

2. Is there a difference between the profitability of each customer by using the

two systems; activity based costing and traditional costing system?

The study hypotheses: The researcher tries to test if these hypotheses are correct:

H1: There is a significant difference between cost of different customers in ABC

system and that of traditional system in the company under study.

H2: There is a significant difference between profitability of different customers in

ABC system and that of traditional system in the company under study.

The methodology of the study: The researchers have adopted the descriptive application methodology because it suits

the objectives of this study. The researchers have also depended on information

resources relating to the study and have analyzed it.

Previous studies:

1. Zohreh Hajiha, Samad Safari Alishah (2011)

The purpose of this paper is examination of implementation feasibility of time-driven

activity-based costing system (TDABC) in hospitality industry and analyzes

profitability of various costumer groups by this system in Iranian context. The results

of this system were compared with those of traditional costing system in an Iranian

large hotel named Parsian Hotel (as a case study). Regarding to the goal of the

subject, this is an application research by case study. The results showed that using

TDABC model, in comparison with the existing traditional system in Parsian Hotel,

provides more proper data on cost and profitability of customers. Also, the proposed

model distinguishes non-added value activities and demonstrates real capacity of each

parts of the hotel. Therefore, managers of service companies, especially in hospitality

industry, can calculate necessary time for activities by time equations in TDABC.

Thus they can do necessary actions to decrease this time and increase hotels’

profitability.

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VOL 5, NO 9

2. Mullika Jumpapang, Phapruke Ussahawanitchakit (2012)

The objective of this study is to examine the relationships among three dimensions of

marketing learning orientation, marketing practice competency, service innovation,

customer value creation, and marketing profitability through a moderating role of

marketing experience. Marketing learning orientation consists of customer learning

focus, competitive learning capability, and marketing knowledge diversity. In this

study, 294 hotel businesses in Thailand were chosen as the sample of the study. The

results indicate that three dimensions of marketing learning orientation have a

significant positive association with marketing practice competency. Customer

learning focus has a significant positive impact on customer value creation, while

marketing knowledge diversity has a significant positive impact on service

innovation. In addition, it reveals that marketing practice competency has a significant

positive effect on service innovation and customer value creation. Furthermore,

service innovation can increase marketing profitability directly and indirectly through

customer value creation. The moderating role of marketing experience among the

relationships of three dimensions of marketing learning orientation, marketing

practice competency, service innovation, and customer value creation are found not

significant.

Additionally, the potential discussion with the results is implemented in the study.

Theoretical and managerial contributions are presented. The future study needs to

search for mediating variables and moderating variables and includes them in the

conceptual model in order to increase the contributions and benefits of the study.

Likewise, it needs to collect data from different groups of sample and/or comparative

population or from other business sectors in Thailand or elsewhere.

3. Morten Holm & V. Kumar & Carsten Rohde (2012)

Customer profitability measurement is an important element in customer relationship

management and a lever for enhanced marketing accountability. Two distinct

measurement approaches have emerged in the marketing literature: Customer

Lifetime Value (CLV) and Customer Profitability Analysis (CPA). Myriad models

have been demonstrated within these two approaches across industries. However,

limited efforts have been made to explain when sophisticated CLV or CPA models

will be most useful. This paper explores the advantages and limitations of

sophisticated CLV and CPA models and proposes that the degree of sophistication

deployed when implementing customer profitability measurement models is

determined by the type of complexity encountered in firms’ customer environments.

This gives rise to a contingency framework for customer profitability measurement

model selection and five research propositions.

Additionally, the framework provides design and implementation guidance for

managers seeking to implement customer profitability measurement models for

resource allocation purposes.

4. Raj Devasagayam, Nicholas R. Stark, and Laura S. Valestin (2013)

Past literature has suggested maximizing customer satisfaction as a strategic choice to

increase customer loyalty and ensuring revenues. However, the relationship between

increase customer satisfaction and resultant revenue has remained unexamined. This

research focuses on optimizing customer satisfaction rather than maximizing it. This

optimization of customer satisfaction is based on maximizing profitability. In aiming

for higher customer satisfaction levels with no regard to profitability, a company runs

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the risk of self-annihilation. Based on conceptual foundations of prior research on

Return on Quality (ROQ), we propose the construct of Return on Satisfaction (ROS).

We review frameworks of customer satisfaction examined by scholars in marketing

and then propose a conceptual ROS model. We use empirical data (n=1597) obtained

from an institution of higher education to test the conceptual model we propose.

Results indicate that the data demonstrates construct validity and points to promising

directions for further research. We conclude by underscoring managerial implications

as well as the scholarly contributions of this research.

Methods and data: We have access to revenue, cost, and marketing and selling expense data for four big

customers of DAWOUD Company, a firm in the Compounds feed industry, used

Activity-Based Costing (ABC) in assessing the profitability picture in order to better

understand which customers were profitable and which were subsidized. Then we will

answer the two these questions:

1. What is the impact of customer-specific marketing and selling expenses on

customer costs?

2. What is the impact of customer-specific marketing and selling expenses on

customer profitability?

To answer these two questions, the researchers try to analyze revenues for each

customer, then the costs for each customer by using the four steps in developing an

ABC system which prepared by (R. S. Kaplan and R. Cooper, 1998):

- Develop the activity dictionary.

- Determine how much the organization is spending on each of its activities.

- Identify the organization's products, services, and customers.

- Select activity cost drivers that link activity costs to the organization's

products, services, and customers.

Customer-Revenue Analysis: Before we going to determine the amount of revenues for each of our four customers,

we have to refer that the company sells variety volume of its vegetable oils, 8 liters,

16 liters, and 200 liters. The researchers have access to the following information

relating to revenues for the four customers with prices for each category of items sold

to these customers and also to discount of quantity. The results are displayed in the

following tables for DAWOUD Company for the year of 2013:

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The analysis of customer-revenue:

Table No. 1: Customer-revenues for four big customers. Customer No. 10221

Category Quantity Quantity Discount Net Quantity Selling Price Per Unit Amount

8 liters 8770 5% 8331.5 $12 $99978

16 liters 4325 5% 4108.75 $23 $94501.25

200 liters 215 5% 204.25 $275 $56168.75

Total Revenues $250648

Customer No. 10249

Category Quantity Quantity Discount Net Quantity Selling Price Per Unit Amount

8 liters 6650 5% 6317.5 $12 $75810

16 liters 3540 5% 3363 $23 $77349

200 liters 143 5% 135.85 $275 $37358.75

Total Revenues $190517.75

Customer No. 10253

Category Quantity Quantity Discount Net Quantity Selling Price Per Unit Amount

8 liters 6325 5% 6008.75 $12 $72105

16 liters 3490 5% 3315.5 $23 $76256.5

200 liters 137 5% 130.15 $275 $35791.25

Total Revenues $184152.75

Customer No. 10260

Category Quantity Quantity Discount Net Quantity Selling Price Per Unit Amount

8 liters 6219 5% 5908.05 $12 $70896.6

16 liters 3230 5% 3068.5 $23 $70575.5

200 liters 129 5% 122.55 $275 $33701.25

Total Revenues $175173.35

The results stated in the table clearly indicate that the total revenues for the four

customers are $800,491.75, and there are two variables explain revenue differences

across these four customers: (1) the quantity they purchased and (2) the magnitude of

the quantity discounting.

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Tracking quantity discount by customer helps improve customer profitability, because

it promote customers to buy in big quantity to get more quantity discounts. The

following diagram summarizes the revenue for each customer in dollars:

Figure 1- Customer-Revenue

0

50000

100000

150000

200000

250000

300000

CUS. N. 21 CUS. N. 49 CUS. N. 53 CUS. N. 60

REVENUES

Customer-Cost Analysis: Customer cost information is essential for managerial decision making (Dalci et al,.

2010). Understanding the true costs of serving specific customers is important for

every organization. Those companies who understand which customers are more

profitable and which are not are ―armed with valuable information needed to make

successful managerial decision to improve overall organizational profitability (van

Raaij, 2003; Dalci et al, 2010).

In the changing technological environment, when the internet and e-commerce gains

the customers on their side, companies realized that traditional cost accounting

systems do not provide accurate cost information, information used in the decision

making process. As an answer to these changes, activity based costing (ABC) was

designed and, in time, gained popularity, because it focuses on the activities

associated with the costs and assigns activity costs to products, services or customers

that consume resources. Because of these characteristics ABC (1) becomes a tool for

determining true costs of bots sales, marketing activities and customers; (2) will help

companies to make better decisions based on accurate costing information (Stapleton

et al, 2004; van Raaij, 2005; Cugini et al, 2007; Dalci et al, 2010).

The mechanism of ABC requires going through several stages. First, ABC assumes

that products, services or customers generate activities and activities consume

resources. Second, product costing involves a two-step allocation process in which

costs are first allocated to activities and then the activity costs are allocated to

products or customers based on each product or customers demand for, or

consumption of the activities (Stapleton et al, 2004).

While traditional cost systems rely on arbitrary allocation of overhead costs, ABC

classifies cost pools according to the activities performed within the organization.

Moreover, by understanding the hierarchical levels of the costs ABC enables

managers to better understand cost causation and make better decision, it help

managers to understand which customers are profitable and which ones are not and

leads to increased profitability (Dalci et al, 2010; Horngren, et al, 2012).

By reviewing the data for the company under study, The researchers could determine

six cost pools (activities) related to customers, costs of each activity, and cost drivers

for each activity also, with own total levels at the level of the company under study.

The researchers also could determine information on the quantity of cost drivers used

by each of four customers. The following tables summarize the results:

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Table No. 2: Activity information at the level of the company. Activity Area Activity Cost Cost Driver Activity Level Cost Driver Rate

Product handling $193000 Weight of units Sold 1746210 $0.11

Order taking $40000 Purchase Order 530 $75.47

Delivery vehicles $113000 Delivery mile traveled 63000 $1.79

Rush deliveries $26000 Expedited delivery 94 $276.59

Visits to customers $36000 Sales visit 500 $72

Annual tourist program $38000 Number of customers

covered by the program 19 $2000

Total costs of activities $873000

Information on the quantity of cost drivers used by each of four big customers is as

follows:

Table No. 3: Cost driver information for the four big customers. Customer No. 21 Customer No. 49 Customer No. 53 Customer No. 60

Weight of units sold 182360 138440 134040 127230

Number of purchase order 40 30 55 50

Number of deliveries 100 70 50 30

Miles traveled per delivery 40 50 140 220

Number of rush deliveries 5 6 9 13

Number of visits to customers 12 7 17 22

Customers covered by the program 1 1 1 1

The following table summarizes information about the customer-level operating

costs, which are as follows:

Table No. 4: Customer-level operating costs. CUSTOMER

No. 21 No. 49 No. 53 No. 60 Product handling

$O.11 × 182360; 138440; 134040; 127230

$20059.6

$15228.4

$14744.4

$13995.3 Order taking

$75.47 × 40; 30; 55; 50

$3018.8

$2264.1

$4150.9

$3773.5 Delivery vehicles

$1.79 × (40×100); (50×70); (140×50); (220×30)

$7160

$6265

$12530

$11814 Rush deliveries

$276.59 × 5; 6; 9; 13

$1382.9

$1659.5

$2489.3

$3595.6 Visits to customers

$72 × 12; 7; 17; 22

$864

$504

$1224

$1584 Annual tourist program

$2000 each

$2000

$2000

$2000

$2000 Total customer-level operating costs $34485.3 $27921 $37138.6 $36762.4

The company under study has 47 customers. So, for decision making purposes, it

allocates all customer-level operating costs to all customers equally. This traditional

method in allocating these types of costs to customers leads to distort customer-level

costs, then to distort customer-level operating income (Horngren, 2012).

To calculate the share of each customer from all customer-level operating costs by

using traditional method applied in the company, the result will be $18575

($873000/47 customers (Agents). The following diagram summarizes the customer-

level operating costs for each customer by using activity based costing system and

traditional costing system in dollars:

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Figure 2- Customer-level operating costs (ABC – Traditional)

0

5000

10000

15000

20000

25000

30000

35000

40000

CUS. No. 21 CUS. No. 49 CUS. No. 53 CUS. No. 60

ABC

Traditional

This diagram shows clearly the fundamental differences between the customer-level

operating costs calculated by using activity based costing system, and customer-level

operating costs calculated by using traditional costing system.

Customer-profitability: Many specialists (Kaplan&Atkinson, 1998; Albu&Albu, 2005; Murphy et al, 2005)

argue that ABC permits a customer profitability analysis by comparing the revenue

streams with the service costs associated with specific customers or customer groups.

An analysis of customer differences in revenues and costs can provide insight into

why differences exist in the operating income earned from different customers.

Managers use this information to ensure that customers making large contribution to

the operating income of a company receive a high level of attention from the

company.

Before we go to compute the profitability for each customer, we need at the beginning

to compute the cost of goods sold for each customer. Then to deduct the cost of goods

sold for each customer from the customer's revenues to get gross margin, then to

deduct all customer-level operating costs, and then to arrive to customer-level

operating income. The following table summarizes them:

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Table No. 5: Cost of Goods Sold for four Big Customers of DAWOUD Company for the year of 2013: CUS. No. 21 CUS. No. 49 CUS. No. 53 CUS. No. 60

Category Cost per unit Quantity Total costs Quantity Total costs Quantity Total costs Quantity Total costs

8 Liters $10 8770 $87700 6650 $66500 6325 $63250 6219 $62190

16 Liters $18 4325 $77850 3540 $63720 3490 $62820 3230 $58140

200 Liters $215 215 $46225 143 $30745 137 $29455 129 $27735

Cost of goods sold $211775 $160965 $155525 $148065

The table shows the cost of goods sold for each customer. The results will use to identify the gross margin for each customer bu using the two

systems; activity based costing system and traditional costing system. Cost of goods sold is one element of customer profitability.

To determine customer-profitability, the researchers summarize all information needed to this purpose in the following tables:

Table No. 6: Customer-Profitability Analysis for four Big Customers of DAWOUD Company for the year of 2013 by

using (ABC): CUSTOMER

CUS. No. 21 % CUS. No. 49 % CUS. No. 53 % CUS. No. 60 % Total %

Revenues $250648 100.0% $190517.75 100.0% $184152.75 100.0% $175173.35 100.0% $800491.85 100.0%

-Cost of goods sold $211775 84.5% $160965 84.5% $155525 84.5% $148065 84.5% $676330 84.5%

Gross margin $38873 15.5% $29552.75 15.5% $28627.75 15.5% $27108.35 15.5% $124161.85 15.5%

-Customer-level operating costs $34485.3 13.7% $27921 14.7% $37138.6 20.1% $36762.4 21% $136307.3 17%

-Customer-level operating income $4387.7 1.8% $1631.75 0.8% $(8510.85) -4.6% $(9654.05) -5.5% $(12145.45) -1.5%

The table shows that the profitability of customers by using activity based costing system. The results suggest that the customer number 21 and

the customer number 49 achieve profits for the company, as the customer number 21 has achieved profits of $ 4387.7 a gain of 1.8% of its total

revenues, while the customer number 49 has achieved profits of 1631.75 a gain of 0.8% of its total revenues.

As for customers number 53 and 60, they achieve losses for the company, to the customer number 53 at $ 8510.85 and to the customer number

60at $ 9654.05, with gain of 4.6% loss of the total revenue for the customer number 53, and 5.5% loss of the total revenue for the customer

number 60.

Activity based costing can allocate the customer-level operating costs to customers in a feasible way, which is reflected in the measurement of

the cost customer's costs in correct way, enabling the company to better determine profitability for the customers.

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Table No. 7: Customer-Profitability Analysis for four Big Customers of DAWOUD Company for the year of 2013 by

using (Traditional): CUSTOMER

CUS. No. 21 % CUS. No. 49 % CUS. No. 53 % CUS. No. 60 % Total %

Revenues $250648 100.0% $190517.75 100.0% $184152.75 100.0% $175173.35 100.0% $800491.85 100.0%

-Cost of goods sold $211775 84.5% $160965 84.5% $155525 84.5% $148065 84.5% $676330 84.5%

Gross margin $38873 15.5% $29552.75 15.5% $28627.75 15.5% $27108.35 15.5% $124161.85 15.5%

-Customer-level operating costs $18575 7.5% $18575 9.7% $18575 10% $18575 10.6% $74300 9.2%

-Customer-level operating income $20298 8% $10977.75 5.8% $10052.75 5.5% $8533.35 4.9% $49861.85 6.3%

The table shows that all customers may achieve profits by using traditional costing system. And the reason for these results is due to the inability

of the company to determine the costs of each customer accurately. Which makes the company is unable to distinguish between the winners

from the losers customers.

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Figure 3- Customer-Profitability (ABC – Traditional)

-10000

-5000

0

5000

10000

15000

20000

25000

CUS. No. 21 CUS. No. 49 CUS. No. 53 CUS. No. 60

ABC

Traditional

This diagram shows an overview of the profitability of the customers by using the two

systems; activity bases costing system, and traditional costing system, which helps

management in decision making on the selection of the best system, and then identify

customers who must be eliminate them or work to improve the profitability for them through

decrease the service-costs for the customers, as well as customers who must be cared for.

Managers use the customer-profitability analysis to identify the small set of customers who

deserve the highest service and priority. They also identify ways to make less-profitable

customers more profitable.

4- Hypotheses Test: H1: There is a significant difference between cost of different customers in ABC system and

that of traditional system in the company under study.

H2: There is a significant difference between profitability of different customers in ABC

system and that of traditional system in the company under study.

Test of the first hypothesis The first null hypothesis states that "There is no significant difference between cost of

different customers in ABC system and that of traditional system in the company under

study."

Table No.8: the results of customer-costs analysis for the first hypothesis.

CUSTOMER

CUS. No.

21

CUS. No.

49

CUS. No.

53

CUS. No.

60

Percentage of customer-level operating costs to

revenues by using (ABC) 13.7% 14.7% 20.1% 21%

Percentage of customer-level operating costs to

revenues by using (Traditional) 7.5% 9.7% 10% 10.6%

The difference between two percentages 6.2% 5% 10.1% 9.4%

The table shows that two customers; customer No. 53 and customer No. 60, have more

difference between their operating costs by using the two systems (ABC and Traditional).

10.1% for the customer No. 53. This means that (10.1% × $184152.75 revenues) $18599 is a

difference in the customer-level operating costs for the customer No. 53 between the two

systems; activity based costing system and traditional costing system. And for customer No.

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60, the difference is 9.4%. This means that (9.4% × $175173.35 revenues) $16466 is a

difference in the customer-level operating costs for the customer No. 60 between the two

systems; activity based costing system and traditional costing system. These differences are a

significant proportion and prove the first hypothesis of this search, which states "There is a

significant difference between cost of different customers in ABC system and that of

traditional system in the company under study".

Test of the second hypothesis The second null hypothesis states that "There is no significant difference between profitability

of different customers in ABC system and that of traditional system in the company under

study."

Table No.9: the results of customer-profitability analysis for the second

hypothesis.

CUSTOMER

CUS. No.

21

CUS. No.

49

CUS. No.

53

CUS. No.

60

Percentage of customer-profitability to

revenues by using (ABC) 1.8% 0.8% -4.6% -5.5%

Percentage of customer-profitability to

revenues by using (Traditional) 8% 5.8% 5.5% 4.9%

The difference between two percentages -6.2% -5% -10.1% -10.4%

The table shows that two customers; customer No. 53 and customer No. 60, have more

difference between their profitability by using the two systems (ABC and Traditional). 10.4%

for the customer No. 60. This means that (10.4% × $175173.35 revenues) $18218 is a

difference in the customer-level profitability for the customer No. 60 between the two

systems; activity based costing system and traditional costing system. And for customer No.

53, the difference is 10.1%. This means that (10.1% × $184152.75 revenues) $18599 is a

difference in the customer-level profitability for the customer No. 60 between the two

systems; activity based costing system and traditional costing system. These differences are a

significant proportion and prove the second hypothesis of this search, which states ": There is

a significant difference between profitability of different customers in ABC system and that

of traditional system in the company under study ".

Results:

The following points represent the results: 1. There is a fundamental difference between the customer-level operating costs

according to the activity based costing system and the customer-level operating

costs according to traditional costing system

2. There is a fundamental difference between the customer-profitability according to

the activity based costing system and the customer-profitability according to

traditional costing system

3. The results show that the customer-level operating costs have a significant effect

on the customer-costs.

4. The results show that the customer-level operating costs have a significant effect

on the customer-profitability.

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Recommendations:

The following points can be considered as real recommendations in this

field: 1. Need to work on the allocation of the costs of customer service to customers in a

reasonable manner.

2. Need to work on the application of the activity based costing system, because it

provides a better mechanism for the allocation of customer-level operating costs.

3. The need to reconsider the customer-level operating costs, because it will impact on

the customer- profitability.

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